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ORCIDMohammad Reza Meybodi
M. R. Meybodi
Person information
- affiliation: Amirkabir University of Technology, Tehran, Iran
- affiliation (1985 - 1991): Ohio University, Athens, OH, USA
- affiliation (1983 - 1985): Western Michigan University, Kalamazoo, MI, USA
- affiliation (PhD 1983): Oklahoma University, Norman, OK, USA
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2020 – today
- 2025
[j183]Ali Nikhalat Jahromi
, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Asymmetric variable depth learning automaton and its application in defending against selfish mining attacks on bitcoin. Appl. Soft Comput. 170: 112416 (2025)- [j182]Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Alireza Rezvanian:
A cellular goore game-based algorithm for finding the shortest path in stochastic multi-layer graphs. J. Supercomput. 81(1): 322 (2025) - 2024
- [j181]Reyhaneh Ameri, Mohammad Reza Meybodi:
The cellular goore game-based consensus protocol: a cognitive model for blockchain consensus. Clust. Comput. 27(3): 2715-2740 (2024) - [j180]Reyhaneh Ameri, Mohammad Reza Meybodi:
An improved cellular goore game-based consensus protocol for blockchain. Clust. Comput. 27(5): 6843-6868 (2024) - [j179]Reyhaneh Ameri, Mohammad Reza Meybodi:
Cognitive blockchain and its application to optimize performance in blockchain systems. Trans. Emerg. Telecommun. Technol. 35(7) (2024) - [c81]Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining Attack. ICAART (1) 2024: 37-46 - 2023
- [j178]Saber Gholami, Ali Mohammad Saghiri, S. Mehdi Vahidipour, M. R. Meybodi:
HLA: a novel hybrid model based on fixed structure and variable structure learning automata. J. Exp. Theor. Artif. Intell. 35(2): 231-256 (2023) - [i13]Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin. CoRR abs/2301.11463 (2023) - [i12]Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin. CoRR abs/2302.12096 (2023) - [i11]Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi:
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata. CoRR abs/2307.00529 (2023) - [i10]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A Cost-Aware Mechanism for Optimized Resource Provisioning in Cloud Computing. CoRR abs/2309.11299 (2023) - [i9]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan, Amir Masoud Rahmani:
A Competition-based Pricing Strategy in Cloud Markets using Regret Minimization Techniques. CoRR abs/2309.11312 (2023) - [i8]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
Dynamic Pricing of Applications in Cloud Marketplaces using Game Theory. CoRR abs/2309.11316 (2023) - 2022
- [j177]Reza Vafashoar, Hossein Morshedlou, Mohammad Reza Meybodi:
Bifurcated particle swarm optimizer with topology learning particles. Appl. Soft Comput. 114: 108039 (2022) - [j176]Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Reyhaneh Ameri:
Cellular goore game with application to finding maximum clique in social networks. J. Comput. Des. Eng. 9(3): 966-991 (2022) - [j175]Bagher Zarei, Mohammad Reza Meybodi, Behrooz Masoumi:
A New Evolutionary Model Based on Cellular Learning Automata and Chaos Theory. New Gener. Comput. 40(1): 285-310 (2022) - [j174]Reyhaneh Ameri, Mohammad Reza Meybodi, Mohammad Mehdi Daliri Khomami:
Cellular Goore Game and its application to quality-of-service control in wireless sensor networks. J. Supercomput. 78(13): 15181-15228 (2022) - [j173]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A new multi-wave continuous action-set cellular learning automata for link prediction problem in weighted multi-layer social networks. J. Supercomput. 78(17): 18636-18665 (2022) - 2021
- [b4]Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi:
Cellular Learning Automata: Theory and Applications. Springer 2021, ISBN 978-3-030-53140-9, pp. 1-365 - [b3]Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian, Mohammad Reza Meybodi:
Advances in Learning Automata and Intelligent Optimization. Intelligent Systems Reference Library 208, Springer 2021, ISBN 978-3-030-76290-2, pp. 1-340 - [j172]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks. Appl. Intell. 51(1): 71-84 (2021) - [j171]Nahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A self-adaptive algorithm for super-peer selection considering the mobility of peers in cognitive mobile peer-to-peer networks. Int. J. Commun. Syst. 34(1) (2021) - [j170]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A competition-based pricing strategy in Cloud markets using regret minimisation techniques. Int. J. Grid Util. Comput. 12(5/6): 635-654 (2021) - [j169]Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach. J. Exp. Theor. Artif. Intell. 33(1): 1-26 (2021) - [j168]Mina Ghavipour, Mohammad Reza Meybodi:
A dynamic sampling algorithm based on learning automata for stochastic trust networks. Knowl. Based Syst. 212: 106620 (2021) - [j167]Hamid Beigy, Mohammad Reza Meybodi:
A sampling method based on distributed learning automata for solving stochastic shortest path problem. Knowl. Based Syst. 212: 106638 (2021) - [j166]Bagher Zarei, Mohammad Reza Meybodi:
Improving learning ability of learning automata using chaos theory. J. Supercomput. 77(1): 652-678 (2021) - [j165]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi, Alireza Bagheri:
CFIN: A community-based algorithm for finding influential nodes in complex social networks. J. Supercomput. 77(3): 2207-2236 (2021) - [j164]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A variable action set cellular learning automata-based algorithm for link prediction in online social networks. J. Supercomput. 77(7): 7620-7648 (2021) - [c80]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Solving Minimum Dominating Set in Multiplex Networks Using Learning Automata. CSICC 2021: 1-6 - 2020
- [j163]Mojtaba Jamshidi, Shokooh Sheikh Abooli Poor, Abbas Arghavani, Mehdi Esnaashari, Abdusalam Abdulla Shaltooki, Mohammad Reza Meybodi:
A simple, lightweight, and precise algorithm to defend against replica node attacks in mobile wireless networks using neighboring information. Ad Hoc Networks 100: 102081 (2020) - [j162]Reza Vafashoar, Mohammad Reza Meybodi:
A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments. Appl. Soft Comput. 88: 106009 (2020) - [j161]Bagher Zarei, Mohammad Reza Meybodi:
Detecting community structure in complex networks using genetic algorithm based on object migrating automata. Comput. Intell. 36(2): 824-860 (2020) - [j160]Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments. Connect. Sci. 32(3): 239-263 (2020) - [j159]Mojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
Using Time-Location Tags and Watchdog Nodes to Defend Against Node Replication Attack in Mobile Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 27(1): 102-115 (2020) - [j158]Hamid Beigy, Mohammad Reza Meybodi:
An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs. J. Supercomput. 76(7): 5540-5562 (2020)
2010 – 2019
- 2019
- [b2]Alireza Rezvanian, Behnaz Moradabadi, Mina Ghavipour, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi:
Learning Automata Approach for Social Networks. Studies in Computational Intelligence 820, Springer 2019, ISBN 978-3-030-10766-6 - [j157]Mojtaba Jamshidi, Milad Ranjbari, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor Nodes. Ad Hoc Sens. Wirel. Networks 43(3-4): 213-238 (2019) - [j156]Mina Ghavipour, Mohammad Reza Meybodi:
Stochastic trust network enriched by similarity relations to enhance trust-aware recommendations. Appl. Intell. 49(2): 435-448 (2019) - [j155]Seyed Mehdi Vahidipour, Mehdi Esnaashari, Alireza Rezvanian, Mohammad Reza Meybodi:
GAPN-LA: A framework for solving graph problems using Petri nets and learning automata. Eng. Appl. Artif. Intell. 77: 255-267 (2019) - [j154]Mojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzles. IET Commun. 13(13): 1988-1997 (2019) - [j153]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
RMRL: improved regret minimisation techniques using learning automata. J. Exp. Theor. Artif. Intell. 31(3): 441-454 (2019) - [j152]Reza Vafashoar, Mohammad Reza Meybodi:
Reinforcement learning in learning automata and cellular learning automata via multiple reinforcement signals. Knowl. Based Syst. 169: 1-27 (2019) - [j151]Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
New measures for comparing optimization algorithms on dynamic optimization problems. Nat. Comput. 18(4): 705-720 (2019) - [j150]Mehran Mirkhan, Mohammad Reza Meybodi:
Restricted Convolutional Neural Networks. Neural Process. Lett. 50(2): 1705-1733 (2019) - [j149]Reza Vafashoar, Mohammad Reza Meybodi:
Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations. Swarm Evol. Comput. 44: 680-694 (2019) - [j148]Javidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi, Pavel Novoa-Hernández:
A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach. Swarm Evol. Comput. 44: 788-805 (2019) - [j147]Mojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
A Novel Model of Sybil Attack in Cluster-Based Wireless Sensor Networks and Propose a Distributed Algorithm to Defend It. Wirel. Pers. Commun. 105(1): 145-173 (2019) - 2018
- [b1]Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi:
Recent Advances in Learning Automata. Studies in Computational Intelligence 754, Springer 2018, ISBN 978-3-319-72427-0, pp. 3-438 - [j146]Javidan Kazemi Kordestani, Hossein Abedi Firouzjaee, Mohammad Reza Meybodi:
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems. Appl. Intell. 48(1): 97-117 (2018) - [j145]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An adaptive super-peer selection algorithm considering peers capacity utilizing asynchronous dynamic cellular learning automata. Appl. Intell. 48(2): 271-299 (2018) - [j144]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Negin Bagherpour, Mohammad Reza Meybodi:
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach. Appl. Intell. 48(3): 570-593 (2018) - [j143]Reza Vafashoar, Mohammad Reza Meybodi:
Multi swarm optimization algorithm with adaptive connectivity degree. Appl. Intell. 48(4): 909-941 (2018) - [j142]Mina Ghavipour, Mohammad Reza Meybodi:
A streaming sampling algorithm for social activity networks using fixed structure learning automata. Appl. Intell. 48(4): 1054-1081 (2018) - [j141]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
Assignment of cells to switches in cellular mobile network: a learning automata-based memetic algorithm. Appl. Intell. 48(10): 3231-3247 (2018) - [j140]Hossein Morshedlou, Mohammad Reza Meybodi:
Insurance for Improving User Satisfaction Level. Bus. Inf. Syst. Eng. 60(6): 513-524 (2018) - [j139]Ziaeddin Beheshtifard, Mohammad Reza Meybodi:
An adaptive channel assignment in wireless mesh network: The learning automata approach. Comput. Electr. Eng. 72: 79-91 (2018) - [j138]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
Barrier coverage in adjustable-orientation directional sensor networks: A learning automata approach. Comput. Electr. Eng. 72: 859-876 (2018) - [j137]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
Balancing exploration and exploitation in memetic algorithms: A learning automata approach. Comput. Intell. 34(1): 282-309 (2018) - [j136]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A cost-aware mechanism for optimized resource provisioning in cloud computing. Clust. Comput. 21(2): 1381-1394 (2018) - [j135]Mina Ghavipour, Mohammad Reza Meybodi:
A dynamic algorithm for stochastic trust propagation in online social networks: Learning automata approach. Comput. Commun. 123: 11-23 (2018) - [j134]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in weighted social networks using learning automata. Eng. Appl. Artif. Intell. 70: 16-24 (2018) - [j133]Azam Shirali, Javidan Kazemi Kordestani, Mohammad Reza Meybodi:
Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms. Genet. Program. Evolvable Mach. 19(4): 505-534 (2018) - [j132]Hossein Morshedlou, Mohammad Reza Meybodi:
A new learning automata based approach for increasing utility of service providers. Int. J. Commun. Syst. 31(3) (2018) - [j131]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in stochastic social networks: Learning automata approach. J. Comput. Sci. 24: 313-328 (2018) - [j130]Mehdi Esnaashari, Mohammad Reza Meybodi:
Dynamic irregular cellular learning automata. J. Comput. Sci. 24: 358-370 (2018) - [j129]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
On expediency of Closed Asynchronous Dynamic Cellular Learning Automata. J. Comput. Sci. 24: 371-378 (2018) - [j128]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A Michigan memetic algorithm for solving the vertex coloring problem. J. Comput. Sci. 24: 389-401 (2018) - [j127]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi:
A new cellular learning automata-based algorithm for community detection in complex social networks. J. Comput. Sci. 24: 413-426 (2018) - [j126]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Open asynchronous dynamic cellular learning automata and its application to allocation hub location problem. Knowl. Based Syst. 139: 149-169 (2018) - [j125]Amin Birashk, Javidan Kazemi Kordestani, Mohammad Reza Meybodi:
Cellular teaching-learning-based optimization approach for dynamic multi-objective problems. Knowl. Based Syst. 141: 148-177 (2018) - [j124]Mina Ghavipour, Mohammad Reza Meybodi:
Trust propagation algorithm based on learning automata for inferring local trust in online social networks. Knowl. Based Syst. 143: 307-316 (2018) - [j123]Nahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An adaptive algorithm for super-peer selection considering peer's capacity in mobile peer-to-peer networks based on learning automata. Peer-to-Peer Netw. Appl. 11(1): 74-89 (2018) - [j122]Majid Gholipour, A. T. Haghighat, Mohammad Reza Meybodi:
Congestion avoidance in cognitive wireless sensor networks using TOPSIS and response surface methodology. Telecommun. Syst. 67(3): 519-537 (2018) - 2017
- [j121]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Adaptive Petri net based on irregular cellular learning automata with an application to vertex coloring problem. Appl. Intell. 46(2): 272-284 (2017) - [j120]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in fuzzy social networks using distributed learning automata. Appl. Intell. 47(3): 837-849 (2017) - [j119]Mojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Mohammad Reza Meybodi:
A lightweight algorithm for detecting mobile Sybil nodes in mobile wireless sensor networks. Comput. Electr. Eng. 64: 220-232 (2017) - [j118]Soheila Gheisari, Mohammad Reza Meybodi:
A new reasoning and learning model for Cognitive Wireless Sensor Networks based on Bayesian networks and learning automata cooperation. Comput. Networks 124: 11-26 (2017) - [j117]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Cellular adaptive Petri net based on learning automata and its application to the vertex coloring problem. Discret. Event Dyn. Syst. 27(4): 609-640 (2017) - [j116]Mina Ghavipour, Mohammad Reza Meybodi:
Irregular cellular learning automata-based algorithm for sampling social networks. Eng. Appl. Artif. Intell. 59: 244-259 (2017) - [j115]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks. Genet. Program. Evolvable Mach. 18(3): 313-349 (2017) - [j114]Tahereh Hassanzadeh, Mohammad Reza Meybodi, Masoumeh Shahramirad:
A New Fuzzy Firefly Algorithm with Adaptive Parameters. Int. J. Comput. Intell. Appl. 16(3): 1750017:1-1750017:28 (2017) - [j113]Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. Int. J. Comput. Math. 94(8): 1624-1652 (2017) - [j112]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peer-to-peer networks. Int. J. Commun. Syst. 30(3) (2017) - [j111]Alireza Rezvanian, Mohammad Reza Meybodi:
A new learning automata-based sampling algorithm for social networks. Int. J. Commun. Syst. 30(5) (2017) - [j110]Majid Gholipour, Abolfazl Toroghi Haghighat, Mohammad Reza Meybodi:
Hop-by-Hop Congestion Avoidance in wireless sensor networks based on genetic support vector machine. Neurocomputing 223: 63-76 (2017) - [j109]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Finding the Shortest Path in Stochastic Graphs Using Learning Automata and Adaptive Stochastic Petri Nets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(3): 427-456 (2017) - [j108]Alireza Rezvanian, Mohammad Reza Meybodi:
Sampling algorithms for stochastic graphs: A learning automata approach. Knowl. Based Syst. 127: 126-144 (2017) - [j107]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
Bayesian network structure training based on a game of learning automata. Int. J. Mach. Learn. Cybern. 8(4): 1093-1105 (2017) - [j106]Hossein Morshedlou, Mohammad Reza Meybodi:
A New Local Rule for Convergence of ICLA to a Compatible Point. IEEE Trans. Syst. Man Cybern. Syst. 47(12): 3233-3244 (2017) - [j105]Sara Fathipour Deiman, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A Delay Aware Super-Peer Selection Algorithm for Gradient Topology Utilizing Learning Automata. Wirel. Pers. Commun. 95(3): 2611-2624 (2017) - [c79]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
Critical Density in Adjustable-Orientation Directional Sensor Networks Using Continuum Percolation. ICCSCI 2017: 548-555 - [c78]Shekufeh Shafeie, Mohammad Reza Meybodi:
Topology maintenance of Ad Hoc wireless sensor networks with an optimum distributed power saving scheduling learning automata based algorithm. UEMCON 2017: 209-216 - 2016
- [j104]Ziaeddin Beheshtifard, Mohammad Reza Meybodi:
Maximal throughput scheduling based on the physical interference model using learning automata. Ad Hoc Networks 45: 65-79 (2016) - [j103]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata. Appl. Intell. 45(1): 135-151 (2016) - [j102]Reza Vafashoar, Mohammad Reza Meybodi:
Multi swarm bare bones particle swarm optimization with distribution adaption. Appl. Soft Comput. 47: 534-552 (2016) - [j101]Alireza Rezvanian, Mohammad Reza Meybodi:
Stochastic graph as a model for social networks. Comput. Hum. Behav. 64: 621-640 (2016) - [j100]Soheila Gheisari, Mohammad Reza Meybodi:
LA-CWSN: A learning automata-based cognitive wireless sensor networks. Comput. Commun. 94: 46-56 (2016) - [j99]Mina Ghavipour, Mohammad Reza Meybodi:
An adaptive fuzzy recommender system based on learning automata. Electron. Commer. Res. Appl. 20: 105-115 (2016) - [j98]Amir Hossein Jadidinejad, Fariborz Mahmoudi, M. R. Meybodi:
Conceptual feature generation for textual information using a conceptual network constructed from Wikipedia. Expert Syst. J. Knowl. Eng. 33(1): 92-106 (2016) - [j97]Mohammad Hasanzadeh, Omid Jalilian, Alireza Rezvanian, Mohammad Reza Meybodi:
Service level agreement based adaptive Grid superscheduling. Future Gener. Comput. Syst. 55: 62-73 (2016) - [j96]Behnaz Moradabadi, Mohammad Mahdi Ebadzadeh, Mohammad Reza Meybodi:
A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization. Genet. Program. Evolvable Mach. 17(2): 145-167 (2016) - [j95]Mahdi Aziz, Mohammad-H. Tayarani-N., Mohammad Reza Meybodi:
A two-objective memetic approach for the node localization problem in wireless sensor networks. Genet. Program. Evolvable Mach. 17(4): 321-358 (2016) - [j94]Babak Nasiri, Mohammad Reza Meybodi:
History-driven firefly algorithm for optimisation in dynamic and uncertain environments. Int. J. Bio Inspired Comput. 8(5): 326-339 (2016) - [j93]Babak Nasiri, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh:
History-Driven Particle Swarm Optimization in dynamic and uncertain environments. Neurocomputing 172: 356-370 (2016) - [j92]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A Michigan memetic algorithm for solving the community detection problem in complex network. Neurocomputing 214: 535-545 (2016) - [j91]Soheila Gheisari, Mohammad Reza Meybodi:
BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization. Inf. Sci. 348: 272-289 (2016) - [j90]Mohammad Hasanzadeh, Sana Sadeghi, Alireza Rezvanian, Mohammad Reza Meybodi:
Success rate group search optimiser. J. Exp. Theor. Artif. Intell. 28(1-2): 53-69 (2016) - [j89]Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments. J. Exp. Theor. Artif. Intell. 28(1-2): 137-149 (2016) - [j88]Babak Nasiri, Mohammad Reza Meybodi:
Improved Speciation-Based Firefly Algorithm in Dynamic and Uncertain Environments. J. Inf. Sci. Eng. 32(3): 661-676 (2016) - [j87]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An approach for designing cognitive engines in cognitive peer-to-peer networks. J. Netw. Comput. Appl. 70: 17-40 (2016) - [j86]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A Self-adaptive Algorithm for Topology Matching in Unstructured Peer-to-Peer Networks. J. Netw. Syst. Manag. 24(2): 393-426 (2016) - [j85]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem. Memetic Comput. 8(3): 211-222 (2016) - [j84]Bahman Damerchilu, Mohammad Sadegh Norouzzadeh, Mohammad Reza Meybodi:
Motion estimation using learning automata. Mach. Vis. Appl. 27(7): 1047-1061 (2016) - [j83]Alireza Rezvanian, Mohammad Reza Meybodi:
Sampling algorithms for weighted networks. Soc. Netw. Anal. Min. 6(1): 60:1-60:22 (2016) - 2015
- [j82]Ali Sharifi, Javidan Kazemi Kordestani, Mahshid Mahdaviani, Mohammad Reza Meybodi:
A novel hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems. Appl. Soft Comput. 32: 432-448 (2015) - [j81]Alireza Rezvanian, Mohammad Reza Meybodi:
Finding Minimum Vertex Covering in Stochastic Graphs: A Learning Automata Approach. Cybern. Syst. 46(8): 698-727 (2015) - [j80]Abbas Rasoolzadegan, Rohollah Alesheykh, Mohammad Reza Meybodi:
A new approach to active rule scheduling. Eng. Appl. Artif. Intell. 39: 55-79 (2015) - [j79]Majid Gholipour, Abolfazl Toroghi Haghighat, Mohammad Reza Meybodi:
Hop-by-hop traffic-aware routing to congestion control in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2015: 15 (2015) - [j78]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A learning automata-based memetic algorithm. Genet. Program. Evolvable Mach. 16(4): 399-453 (2015) - [j77]Mahshid Mahdaviani, Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
LADE: Learning Automata Based Differential Evolution. Int. J. Artif. Intell. Tools 24(6): 1550023:1-1550023:33 (2015) - [j76]Alireza Rezvanian, Mohammad Reza Meybodi:
Finding Maximum Clique in Stochastic Graphs Using Distributed Learning Automata. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(1): 1-32 (2015) - [j75]Mohammad Shojafar, Zahra Pooranian, Mohammad Reza Meybodi, Mukesh Singhal:
ALATO: An efficient intelligent algorithm for time optimization in an economic grid based on adaptive stochastic Petri net. J. Intell. Manuf. 26(4): 641-658 (2015) - [j74]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
Critical density for coverage and connectivity in two-dimensional fixed-orientation directional sensor networks using continuum percolation. J. Netw. Comput. Appl. 57: 169-181 (2015) - [j73]Amir Hossein Jadidinejad, Fariborz Mahmoudi, M. R. Meybodi:
Clique-based semantic kernel with application to semantic relatedness. Nat. Lang. Eng. 21(5): 725-742 (2015) - [j72]Mehdi Esnaashari, Mohammad Reza Meybodi:
Irregular Cellular Learning Automata. IEEE Trans. Cybern. 45(8): 1622-1632 (2015) - [j71]Mohammad Hasanzadeh, Mohammad Reza Meybodi:
Distributed optimization Grid resource discovery. J. Supercomput. 71(1): 87-120 (2015) - [j70]Hamid Beigy, Mohammad Reza Meybodi:
A learning automata-based adaptive uniform fractional guard channel algorithm. J. Supercomput. 71(3): 871-893 (2015) - [j69]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Learning Automata-Based Adaptive Petri Net and Its Application to Priority Assignment in Queuing Systems With Unknown Parameters. IEEE Trans. Syst. Man Cybern. Syst. 45(10): 1373-1384 (2015) - [c77]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
A percolation algorithm based on cellular automata. EIT 2015: 472-477 - [c76]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
A percolation algorithm for directional sensor networks. EIT 2015: 478-483 - 2014
- [j68]Reza Ghaderi, Mehdi Esnaashari, Mohammad Reza Meybodi:
A Cellular Learning Automata-based Algorithm for Solving the Coverage and Connectivity Problem in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 22(3-4): 171-203 (2014) - [j67]Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
CDEPSO: a bi-population hybrid approach for dynamic optimization problems. Appl. Intell. 40(4): 682-694 (2014) - [j66]Mohammad Reza Mollakhalili Meybodi, Mohammad Reza Meybodi:
Extended distributed learning automata - An automata-based framework for solving stochastic graph optimization problems. Appl. Intell. 41(3): 923-940 (2014) - [j65]Javidan Kazemi Kordestani, Ali Ahmadi, Mohammad Reza Meybodi:
An improved Differential Evolution algorithm using learning automata and population topologies. Appl. Intell. 41(4): 1150-1169 (2014) - [j64]Mohammad Hasanzadeh, Mohammad Reza Meybodi:
Grid resource discovery based on distributed learning automata. Computing 96(9): 909-922 (2014) - [j63]Rana Forsati, Alireza Moayedikia, Richard Jensen, Mehrnoush Shamsfard, Mohammad Reza Meybodi:
Enriched ant colony optimization and its application in feature selection. Neurocomputing 142: 354-371 (2014) - [j62]Amir Ehsan Ranginkaman, Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
A note on the paper "A multi-population harmony search algorithm with external archive for dynamic optimization problems" by Turky and Abdullah. Inf. Sci. 288: 12-14 (2014) - [j61]Danial Yazdani, Babak Nasiri, Alireza Sepas-Moghaddam, Mohammad Reza Meybodi, Mohammad R. Akbarzadeh-Totonchi:
mNAFSA: A novel approach for optimization in dynamic environments with global changes. Swarm Evol. Comput. 18: 38-53 (2014) - [j60]Hossein Morshedlou, Mohammad Reza Meybodi:
Decreasing Impact of SLA Violations: A Proactive Resource Allocation Approachfor Cloud Computing Environments. IEEE Trans. Cloud Comput. 2(2): 156-167 (2014) - [j59]Seyed Mostafa Safavi, Mohammad Reza Meybodi, Mehdi Esnaashari:
Learning Automata Based Face-Aware Mobicast. Wirel. Pers. Commun. 77(3): 1923-1933 (2014) - [j58]Habib Mostafaei, Mohammad Reza Meybodi:
An Energy Efficient Barrier Coverage Algorithm for Wireless Sensor Networks. Wirel. Pers. Commun. 77(3): 2099-2115 (2014) - [c75]Shahrbanoo Gholami, Mohammad Reza Meybodi, Ali Mohammad Saghiri:
A Learning Automata-Based Version of SG-1 Protocol for Super-Peer Selection in Peer-to-Peer Networks. IC2IT 2014: 189-201 - [i7]Ziaeddin Beheshtifard, Mohammad Reza Meybodi:
Online Channel Assignment in Multi-Radio Wireless Mesh Networks Using Learning Automata. CoRR abs/1405.3448 (2014) - [i6]Habib Mostafaei, Mehdi Esnaashari, Mohammad Reza Meybodi:
A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks. CoRR abs/1409.1515 (2014) - 2013
- [j57]Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
LAMR: learning automata based multicast routing protocol for multi-channel multi-radio wireless mesh networks. Appl. Intell. 38(1): 58-77 (2013) - [j56]Mohammad Hasanzadeh, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh:
Adaptive cooperative particle swarm optimizer. Appl. Intell. 39(2): 397-420 (2013) - [j55]Danial Yazdani, Babak Nasiri, Alireza Sepas-Moghaddam, Mohammad Reza Meybodi:
A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization. Appl. Soft Comput. 13(4): 2144-2158 (2013) - [j54]Marjan Abdechiri, Mohammad Reza Meybodi, Helena Bahrami:
Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO). Appl. Soft Comput. 13(5): 2932-2946 (2013) - [j53]Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
On channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. Int. J. Ad Hoc Ubiquitous Comput. 12(4): 225-244 (2013) - [j52]Rana Forsati, Hanieh Mohammadi Doustdar, Mehrnoush Shamsfard, Andisheh Keikha, Mohammad Reza Meybodi:
A fuzzy co-clustering approach for hybrid recommender systems. Int. J. Hybrid Intell. Syst. 10(2): 71-81 (2013) - [j51]Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohammad Reza Meybodi:
Efficient stochastic algorithms for document clustering. Inf. Sci. 220: 269-291 (2013) - [j50]Mohammad Shojafar, Zahra Pooranian, Jemal H. Abawajy, Mohammad Reza Meybodi:
An Efficient Scheduling Method for Grid Systems Based on a Hierarchical Stochastic Petri Net. J. Comput. Sci. Eng. 7(1): 44-52 (2013) - [j49]Mehdi Esnaashari, Mohammad Reza Meybodi:
Deployment of a mobile wireless sensor network with k-coverage constraint: a cellular learning automata approach. Wirel. Networks 19(5): 945-968 (2013) - [j48]Habib Mostafaei, Mohammad Reza Meybodi:
Maximizing Lifetime of Target Coverage in Wireless Sensor Networks Using Learning Automata. Wirel. Pers. Commun. 71(2): 1461-1477 (2013) - [i5]Somayeh Nabizadeh, Alireza Rezvanian, Mohammad Reza Meybodi:
Tracking Extrema in Dynamic Environment using Multi-Swarm Cellular PSO with Local Search. CoRR abs/1307.8279 (2013) - [i4]Somayeh Nabizadeh, Alireza Rezvanian, Mohammad Reza Meybodi:
A Multi-Swarm Cellular PSO based on Clonal Selection Algorithm in Dynamic Environments. CoRR abs/1308.1484 (2013) - [i3]M. R. Mollakhalili Meybodi, Mohammad Reza Meybodi:
Extended Distributed Learning Automata: A New Method for Solving Stochastic Graph Optimization Problems. CoRR abs/1308.2772 (2013) - [i2]Mohammad Soleimani-Pouri, Alireza Rezvanian, Mohammad Reza Meybodi:
Finding a Maximum Clique using Ant Colony Optimization and Particle Swarm Optimization in Social Networks. CoRR abs/1311.7213 (2013) - [i1]Aylin Mousavian, Alireza Rezvanian, Mohammad Reza Meybodi:
Solving Minimum Vertex Cover Problem Using Learning Automata. CoRR abs/1311.7215 (2013) - 2012
- [j47]Reza Vafashoar, M. R. Meybodi, A. H. Momeni Azandaryani:
CLA-DE: a hybrid model based on cellular learning automata for numerical optimization. Appl. Intell. 36(3): 735-748 (2012) - [j46]Mina Shirali, Nasrin Shirali, Mohammad Reza Meybodi:
Sleep-based topology control in the Ad Hoc networks by using fitness aware learning automata. Comput. Math. Appl. 64(2): 137-146 (2012) - [j45]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Finding minimum weight connected dominating set in stochastic graph based on learning automata. Inf. Sci. 200: 57-77 (2012) - [j44]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A learning automata-based heuristic algorithm for solving the minimum spanning tree problem in stochastic graphs. J. Supercomput. 59(2): 1035-1054 (2012) - [c74]Mohammad Soleimani-Pouri, Alireza Rezvanian, Mohammad Reza Meybodi:
Solving maximum clique problem in stochastic graphs using learning automata. CASoN 2012: 115-119 - [c73]Ali Sharifi, Vahid Noroozi, Masoud Bashiri, Ali B. Hashemi, Mohammad Reza Meybodi:
Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c72]Danial Yazdani, Mohammad R. Akbarzadeh-Totonchi, Babak Nasiri, Mohammad Reza Meybodi:
A new artificial fish swarm algorithm for dynamic optimization problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c71]Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi:
Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments. GECCO (Companion) 2012: 1519-1520 - [c70]Edriss Esmaeili, Vahid Azizi, Saied Samizadeh, Sajjad Ziyadloo, Mohammad Reza Meybodi:
A New Exploration Method Based on Multi-layer Evidence Grid Map (MLEGM) and Improved A* Algorithm for Mobile Robots. ICTAI 2012: 953-957 - [c69]Shekufeh Shafeie, M. R. Meybodi:
A self-organized energy efficient topology control protocol based on cellular learning automata in wireless sensor networks (SEETCLA). ICUMT 2012: 974-980 - [c68]Mohammad Sadegh Kordafshari, Azadeh Pourkabirian, Mohammad Reza Meybodi, Ali Movaghar:
Distributed QoS routing algorithm in large scale Wireless Sensor Networks. ISIE 2012: 826-830 - 2011
- [j43]Ali B. Hashemi, Mohammad Reza Meybodi:
A note on the learning automata based algorithms for adaptive parameter selection in PSO. Appl. Soft Comput. 11(1): 689-705 (2011) - [j42]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Learning automata-based algorithms for solving stochastic minimum spanning tree problem. Appl. Soft Comput. 11(6): 4064-4077 (2011) - [j41]Javad Akbari Torkestani, Mohammad Reza Meybodi:
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks. Comput. Electr. Eng. 37(4): 461-474 (2011) - [j40]Hamid Beigy, Mohammad Reza Meybodi:
Learning automata based dynamic guard channel algorithms. Comput. Electr. Eng. 37(4): 601-613 (2011) - [j39]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks. Clust. Comput. 14(4): 311-324 (2011) - [j38]Behrooz Masoumi, Mohammad Reza Meybodi:
Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy. Expert Syst. Appl. 38(7): 8105-8118 (2011) - [j37]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A cellular learning automata-based algorithm for solving the vertex coloring problem. Expert Syst. Appl. 38(8): 9237-9247 (2011) - [j36]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A link stability-based multicast routing protocol for wireless mobile ad hoc networks. J. Netw. Comput. Appl. 34(4): 1429-1440 (2011) - [j35]Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
A mathematical formulation for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. J. Netw. Comput. Appl. 34(6): 1869-1882 (2011) - [j34]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A Learning Automata-Based Cognitive Radio for Clustered Wireless Ad-Hoc Networks. J. Netw. Syst. Manag. 19(2): 278-297 (2011) - [j33]Mehdi Esnaashari, Mohammad Reza Meybodi:
A cellular learning automata-based deployment strategy for mobile wireless sensor networks. J. Parallel Distributed Comput. 71(7): 988-1001 (2011) - [j32]Siamak Barzegar, Maryam Davoudpour, Mohammad Reza Meybodi, Alireza Sadeghian, Mehran Tirandazian:
Formalized learning automata with adaptive fuzzy coloured Petri net; an application specific to managing traffic signals. Sci. Iran. 18(3): 554-565 (2011) - [j31]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Weighted Steiner Connected Dominating Set and its Application to Multicast Routing in Wireless MANETs. Wirel. Pers. Commun. 60(2): 145-169 (2011) - [c67]Mohammad Khanjary, Karim Faez, Mohammad Reza Meybodi, Masoud Sabaei:
Shortest paths in synchronized traffic-light networks. CCECE 2011: 882-886 - [c66]Iman Rezazadeh, Mohammad Reza Meybodi, Ahmad Naebi:
Particle Swarm Optimization Algorithm in Dynamic Environments: Adapting Inertia Weight and Clustering Particles. EMS 2011: 76-82 - [c65]Hanieh Mohammadi, Rana Forsati, Mohammad Reza Meybodi, Mehrnoush Shamsfard:
A bi-section graph approach for hybrid recommender system. GrC 2011: 171-176 - [c64]Shahrzad Motamedi Mehr, Majid Taran, Ali B. Hashemi, M. R. Meybodi:
A new recommendation algorithm using distributed learning automata and graph partitioning. HIS 2011: 351-357 - [c63]Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi:
CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems. ICANNGA (1) 2011: 340-349 - [c62]A. Karambakhsh, Mahdi Yousefi Azar Khanian, M. R. Meybodi, Ahmad Fakharian:
Robot navigation algorithm to wall following using fuzzy Kalman filter. ICCA 2011: 440-443 - [c61]Ali Safari Mamaghani, Mohammad Reza Meybodi:
An application of Imperialist Competitive Algorithm to solve the quadratic assignment problem. ICITST 2011: 562-565 - [c60]Mitra Hashemi, Mohammad Reza Meybodi:
Univariate Marginal Distribution Algorithm in Combination with Extremal Optimization (EO, GEO). ICONIP (2) 2011: 220-227 - [c59]Azam Amin Abshouri, Babak Nasiri, Mohammad Reza Meybodi:
New Firefly Optimization Algorithm based On Learning Automata. IICAI 2011: 488-497 - [c58]Iman Rezazadeh, Mohammad Reza Meybodi, Ahmad Naebi:
Adaptive Particle Swarm Optimization Algorithm for Dynamic Environments. ICSI (1) 2011: 120-129 - [c57]Mojdeh Akhtari, Mohammad Reza Meybodi:
Memetic-CLA-PSO: A Hybrid Model for Optimization. UKSim 2011: 20-25 - [c56]Mohammad Khanjary, Karim Faez, Mohammad Reza Meybodi, Masoud Sabaei:
PersianGulf: An Autonomous Combined Traffic Signal Controller and Route Guidance System. VTC Fall 2011: 1-6 - 2010
- [j30]Mehdi Esnaashari, Mohammad Reza Meybodi:
Dynamic Point Coverage Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach. Ad Hoc Sens. Wirel. Networks 10(2-3): 193-234 (2010) - [j29]Javad Akbari Torkestani, Mohammad Reza Meybodi:
A New Vertex Coloring Algorithm Based on Variable Aaction-Set Learning Automata. Comput. Informatics 29(3): 447-466 (2010) - [j28]Javad Akbari Torkestani, Mohammad Reza Meybodi:
An intelligent backbone formation algorithm for wireless ad hoc networks based on distributed learning automata. Comput. Networks 54(5): 826-843 (2010) - [j27]Mehdi Esnaashari, Mohammad Reza Meybodi:
A learning automata based scheduling solution to the dynamic point coverage problem in wireless sensor networks. Comput. Networks 54(14): 2410-2438 (2010) - [j26]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Mobility-based multicast routing algorithm for wireless mobile Ad-hoc networks: A learning automata approach. Comput. Commun. 33(6): 721-735 (2010) - [j25]Rana Forsati, Mohammad Reza Meybodi:
Effective page recommendation algorithms based on distributed learning automata and weighted association rules. Expert Syst. Appl. 37(2): 1316-1330 (2010) - [j24]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Learning Automata-Based Algorithms for Finding Minimum Weakly Connected Dominating Set in Stochastic Graphs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(6): 721-758 (2010) - [j23]Javad Akbari Torkestani, Mohammad Reza Meybodi:
An efficient cluster-based CDMA/TDMA scheme for wireless mobile ad-hoc networks: A learning automata approach. J. Netw. Comput. Appl. 33(4): 477-490 (2010) - [j22]Javad Akbari Torkestani, Mohammad Reza Meybodi:
Clustering the wireless Ad Hoc networks: A distributed learning automata approach. J. Parallel Distributed Comput. 70(4): 394-405 (2010) - [j21]Hamid Beigy, Mohammad Reza Meybodi:
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications. IEEE Trans. Syst. Man Cybern. Part B 40(1): 54-65 (2010) - [j20]Mehdi Esnaashari, Mohammad Reza Meybodi:
Data aggregation in sensor networks using learning automata. Wirel. Networks 16(3): 687-699 (2010) - [c55]Ali Safari Mamaghani, Mostafa Mahi, Mohammad Reza Meybodi:
A Learning Automaton Based Approach for Data Fragments Allocation in Distributed Database Systems. CIT 2010: 8-12 - [c54]Danial Yazdani, Adel Nadjaran Toosi, Mohammad Reza Meybodi:
Fuzzy Adaptive Artificial Fish Swarm Algorithm. Australasian Conference on Artificial Intelligence 2010: 334-343 - [c53]Alireza Rezvanian, Mohammad Reza Meybodi:
Tracking Extrema in Dynamic Environments Using a Learning Automata-Based Immune Algorithm. FGIT-GDC/CA 2010: 216-225 - [c52]Mojdeh Talabeigi, Rana Forsati, Mohammad Reza Meybodi:
A Hybrid Web Recommender System Based on Cellular Learning Automata. GrC 2010: 453-458 - [c51]Alireza Rezvanian, Mohammad Reza Meybodi:
LACAIS: Learning Automata Based Cooperative Artificial Immune System for Function Optimization. IC3 (1) 2010: 64-75 - [c50]Hakimeh Alemi Baktash, Mohammadbagher Karimi, Mohammad Reza Meybodi, Asgarali Bouyer:
2L-RBACG: A new framework for resource access control in grid environments. ICDIM 2010: 359-366 - [c49]Habib Mostafaei, Mohammad Reza Meybodi, Mehdi Esnaashari:
EEMLA: Energy Efficient Monitoring of Wireless Sensor Network with Learning Automata. ICSAP 2010: 107-111 - [c48]Maryam Kalantary, Mohammad Reza Meybodi:
Mobile sensor network deployment using cellular learning automata approach. ICUMT 2010: 976-980 - [c47]Masoud Kamosi, Ali B. Hashemi, Mohammad Reza Meybodi:
A hibernating multi-swarm optimization algorithm for dynamic environments. NaBIC 2010: 363-369 - [c46]Alireza Rezvanian, Mohammad Reza Meybodi:
An adaptive mutation operator for artificial immune network using learning automata in dynamic environments. NaBIC 2010: 479-483 - [c45]Masoud Kamosi, Ali B. Hashemi, Mohammad Reza Meybodi:
A New Particle Swarm Optimization Algorithm for Dynamic Environments. SEMCCO 2010: 129-138 - [c44]Maryam Kalantary, Mohammad Reza Meybodi:
Energy-aware routing protocol for mobile sensor networks using learning automata algorithms. WiMob 2010: 492-496
2000 – 2009
- 2009
- [j19]Javad Akbari Torkestani, Mohammad Reza Meybodi:
RAID-RMS: A fault tolerant stripped mirroring RAID architecture for distributed systems. Comput. Secur. 28(1-2): 40-46 (2009) - [j18]Hamid Beigy, Mohammad Reza Meybodi:
Cellular Learning Automata Based Dynamic Channel Assignment Algorithms. Int. J. Comput. Intell. Appl. 8(3): 287-314 (2009) - [j17]Hamid Beigy, Mohammad Reza Meybodi:
A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks. Int. J. Syst. Sci. 40(1): 101-118 (2009) - [j16]Hamid Beigy, Mohammad Reza Meybodi:
Adaptive Limited fractional Guard Channel Algorithms: a Learning Automata Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(6): 881-913 (2009) - [c43]Ali Safari Mamaghani, Mohammad Reza Meybodi:
Clustering of Software Systems Using New Hybrid Algorithms. CIT (1) 2009: 20-25 - [c42]Rana Forsati, Mohammad Reza Meybodi, Afsaneh Rahbar:
An efficient algorithm for web recommendation systems. AICCSA 2009: 579-586 - [c41]Mostafa Asghari, Behrooz Masoumi, Mohammad Reza Meybodi:
Virtual and intelligent traffic signs in rescue simulation system: Imitation of human society in agent society. CIRA 2009: 205-209 - [c40]Ali B. Hashemi, Mohammad Reza Meybodi:
Cellular PSO: A PSO for Dynamic Environments. ISICA 2009: 422-433 - [c39]Zohreh Anari, Mohammad Reza Meybodi, Babak Anari:
Web page ranking based on fuzzy and learning automata. MEDES 2009: 162-166 - [c38]Zahra Afsahi, Mohammad Reza Meybodi:
Improving Cooperative PSO using Fuzzy Logic. SGAI Conf. 2009: 219-232 - 2008
- [j15]Hamid Beigy, Mohammad Reza Meybodi:
Asynchronous cellular learning automata. Autom. 44(5): 1350-1357 (2008) - [c37]Mehdi Esnaashari, Mohammad Reza Meybodi:
Dynamic Point Coverage in Wireless Sensor Networks: A Learning Automata Approach. CSICC 2008: 758-762 - [c36]Yusef Farhang, Mohammad Reza Meybodi, A. R. Hatamlou:
Improving the Efficiency of Forward Checking Algorithm for Solving Constraint Satisfaction Problems. ISDA (1) 2008: 240-245 - [c35]Rana Forsati, Mohammad Reza Meybodi, Mehrdad Mahdavi, Azadeh Ghari Neiat:
Hybridization of K-Means and Harmony Search Methods for Web Page Clustering. Web Intelligence 2008: 329-335 - [p1]Kayvan Asghari, Ali Safari Mamaghani, Mohammad Reza Meybodi:
An Evolutionary Algorithm for Query Optimization in Database. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 249-254 - 2007
- [j14]Hamid Beigy, Mohammad Reza Meybodi:
Open Synchronous Cellular Learning Automata. Adv. Complex Syst. 10(4): 527-556 (2007) - [c34]Bager Zarei, Mohammad Reza Meybodi, Mortaza Abbaszadeh Meinagh:
A Hybrid Method for Solving Traveling Salesman Problem. ACIS-ICIS 2007: 394-399 - [c33]Mohsen Jahanshahi, Mohammad Reza Meybodi:
Performance Evaluation of TD-Learning Methods for Bandwidth Provisioning. CIT 2007: 171-176 - [c32]Borna Jafarpour, Mohammad Reza Meybodi:
Recombinative CLA-EC. ICTAI (1) 2007: 415-422 - [c31]Moharram Challenger, Vahid Khalilpour, Peyman Bayat, Mohammad Reza Meybodi:
A new robust centralized DMX algorithm. Parallel and Distributed Computing and Networks 2007: 343-348 - 2006
- [j13]Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri:
A new fine-grained evolutionary algorithm based on cellular learning automata. Int. J. Hybrid Intell. Syst. 3(2): 83-98 (2006) - [j12]Hamid Beigy, Mohammad Reza Meybodi:
Utilizing Distributed Learning Automata to Solve Stochastic Shortest Path Problems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(5): 591-615 (2006) - [j11]Hamid Beigy, M. R. Meybodi:
A new continuous action-set learning automaton for function optimization. J. Frankl. Inst. 343(1): 27-47 (2006) - [c30]Shahram Golzari, Mohammad Reza Meybodi:
A Maze Routing Algorithm Based on Two Dimensional Cellular Automata. ACRI 2006: 564-570 - [c29]Babak Behsaz, Pooya Jaferian, Mohammad Reza Meybodi:
Comparison of Global Computing with Grid Computing. PDCAT 2006: 531-534 - [c28]Mohammad Reza Khojasteh, Mohammad Reza Meybodi:
Evaluating Learning Automata as a Model for Cooperation in Complex Multi-agent Domains. RoboCup 2006: 410-417 - [c27]Moharram Challenger, Peyman Bayat, Mohammad Reza Meybodi:
A reliable optimization on distributed mutual exclusion algorithm. TRIDENTCOM 2006 - 2005
- [j10]Hamid Beigy, Mohammad Reza Meybodi:
An adaptive call admission algorithm for cellular networks. Comput. Electr. Eng. 31(2): 132-151 (2005) - [j9]Hamid Beigy, Mohammad Reza Meybodi:
A general call admission policy for next generation wireless networks. Comput. Commun. 28(16): 1798-1813 (2005) - [j8]Peyman Adibi, Mohammad Reza Meybodi, Reza Safabakhsh:
Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering. Neurocomputing 64: 335-357 (2005) - [c26]Reza Rastegar, Mohammad Reza Meybodi:
A note on the population based incremental learning with infinite population size. Congress on Evolutionary Computation 2005: 198-205 - [c25]Reza Rastegar, Mohammad Reza Meybodi:
A new estimation of distribution algorithm based on learning automata. Congress on Evolutionary Computation 2005: 1982-1987 - [c24]S. Ghanbari, Mohammad Reza Meybodi:
Learning Automata Based Algorithms for Mapping of a Class of Independent Tasks over Highly Heterogeneous Grids. EGC 2005: 681-690 - [c23]Arash Hariri, Reza Rastegar, Keivan Navi, Morteza Saheb Zamani, Mohammad Reza Meybodi:
Cellular Learning Automata based Evolutionary Computing (CLA-EC) for Intrinsic Hardware Evolution. Evolvable Hardware 2005: 294-297 - [c22]Arash Hariri, Reza Rastegar, Morteza Saheb Zamani, Mohammad Reza Meybodi:
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA. FCCM 2005: 311-314 - [c21]Reza Rastegar, Mohammad Reza Meybodi:
A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms. RSFDGrC (1) 2005: 441-450 - 2004
- [j7]Hamid Beigy, Mohammad Reza Meybodi:
A Mathematical Framework for Cellular Learning Automata. Adv. Complex Syst. 7(3-4): 295-319 (2004) - [j6]Hamid Beigy, Mohammad Reza Meybodi:
A new fractional channel policy. J. High Speed Networks 13(1): 25-36 (2004) - [c20]Hamid Haidarian Shahri, Mohammad Reza Meybodi:
Social Control Mechanisms to Coordinate an Unreliable Agent Society. COORDINATION 2004: 294-306 - [c19]S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie:
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems. HIS 2004: 110-115 - [c18]Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohammad Reza Meybodi:
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm. HIS 2004: 310-314 - [c17]Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie:
A new discrete binary particle swarm optimization based on learning automata. ICMLA 2004: 456-462 - [c16]Jahanshah Kabudian, Mohammad Reza Meybodi, Mohammad Mehdi Homayounpour:
Applying Continuous Action Reinforcement Learning Automata(CARLA) to Global Training of Hidden Markov Models. ITCC (2) 2004: 638-642 - 2003
- [c15]Sharareh Babvey, Omid Momtahan, Mohammad Reza Meybodi:
Multi mobile robot navigation using distributed value function reinforcement learning. ICRA 2003: 957-962 - [c14]Hamid Beigy, Mohammad Reza Meybodi:
A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach. IDEAL 2003: 119-126 - [c13]Hamid Beigy, Mohammad Reza Meybodi:
An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach. IDEAL 2003: 405-409 - [c12]Hamid Beigy, Mohammad Reza Meybodi:
Multi-threshold Guard Channel Policy for Next Generation Wireless Networks. ISCIS 2003: 755-762 - [c11]Hamid Beigy, Mohammad Reza Meybodi:
A New Continuous Action-Set Learning Automaton for Function Optimization. ISCIS 2003: 960-967 - 2002
- [j5]Mohammad Reza Meybodi, Hamid Beigy:
New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters. Int. J. Neural Syst. 12(1): 45-67 (2002) - [j4]Mohammad Reza Meybodi, Hamid Beigy:
A note on learning automata-based schemes for adaptation of BP parameters. Neurocomputing 48(1-4): 957-974 (2002) - [c10]Hamid Beigy, Mohammad Reza Meybodi:
Call Admission Control in Cellular Mobile Networks: A Learning Automata Approach. EurAsia-ICT 2002: 450-457 - [c9]Masoud Tashakori, Mohammad Reza Meybodi, Farhad Oroumchian:
Bon: The Persian Stemmer. EurAsia-ICT 2002: 487-494 - [c8]Hamid Beigy, Mohammad Reza Meybodi:
A Learning Automata Based Dynamic Guard Channel Scheme. EurAsia-ICT 2002: 643-650 - [c7]Hamid Beigy, Mohammad Reza Meybodi:
A New Distributed Learning Automata Based Algorithm For Solving Stochastic Shortest Path Problem. JCIS 2002: 339-343 - [c6]Hamid Beigy, Mohammad Reza Meybodi:
A Learning Automata Based Graph Isomorphism Algorithm. JCIS 2002: 344-348 - 2001
- [j3]Hamid Beigy, Mohammad Reza Meybodi:
Backpropagation Algorithm Adaptation Parameters Using Learning Automata. Int. J. Neural Syst. 11(3): 219-228 (2001) - 2000
- [c5]Mohammad Reza Meybodi, Hamid Beigy:
A Note on Learning Automata Based Schemes for Adaptation of BP Parameters. IDEAL 2000: 145-149 - [c4]Hamid Beigy, Mohammad Reza Meybodi:
Adaptation of Parameters of BP Algorithm Using Learning Automata. SBRN 2000: 24-31
1990 – 1999
- 1992
- [c3]Mohammad Reza Meybodi:
Banyan Heap Machine. IPPS 1992: 224-231 - [c2]Mohammad Reza Meybodi:
Concurrent Data Structures for Hypercube Machine. PARLE 1992: 703-724
1980 – 1989
- 1987
- [j2]Kenneth L. Williams, Mohammad Reza Meybodi:
Representing problems as string transformations. SIGACT News 18(3): 29-30 (1987) - 1986
- [c1]Mohammad Reza Meybodi, Kenneth Williams:
Parallel processors applied to string transformations (abstract). ACM Conference on Computer Science 1986: 441 - 1982
- [j1]Mohammad Reza Meybodi, S. Lakshmivarahan:
varepsilon-Optimality of a general class of learning algorithms. Inf. Sci. 28(1): 1-20 (1982)
Coauthor Index
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