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2020 – today
- 2024
[j25]Michal Prauzek
, Pavel Krömer, Miroslav Mikus, Jaromir Konecny:
Adaptive energy management strategy for solar energy harvesting IoT nodes by evolutionary fuzzy rules. Internet Things 26: 101197 (2024)- [c182]Vojtech Uher, Pavel Krömer:
Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution. CEC 2024: 1-9 - [c181]Pavel Krömer, Vojtech Uher, Tea Tusar, Bogdan Filipic:
On the Latent Structure of the bbob-biobj Test Suite. EvoApplications@EvoStar 2024: 326-341 - 2023
- [j24]Lukás Klein, Petr Zmij, Pavel Krömer:
Partial Discharge Detection by Edge Computing. IEEE Access 11: 44192-44204 (2023) - [j23]Quoc-Dung Nguyen, Nguyet-Minh Phan, Pavel Krömer, Anh Duc Le:
An Efficient Unsupervised Approach for OCR Error Correction of Vietnamese OCR Text. IEEE Access 11: 58406-58421 (2023) - [c180]Pavel Krömer, Vojtech Uher:
Comparing Sampling Strategies for the Classification of Bi-objective Problems by FLACCO Features. CISIS 2023: 124-136 - [c179]Vojtech Uher, Pavel Krömer:
Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms. IAIT 2023: 28:1-28:9 - [c178]Pavel Krömer, Vojtech Uher:
Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation. IAIT 2023: 29:1-29:8 - [c177]Amit Dua, Pavel Krömer, Zbigniew J. Czech, Tomasz Jastrzab:
Genetic Algorithm with Heuristic Mutation for Wireless Sensor Network Optimization. INCoS 2023: 177-189 - [c176]Vojtech Uher, Jana Nowaková, Pavel Krömer:
Initial Analysis of Multiple Retinal Diseases Classification with Fuzzy Medical Image Retrieval. SMC 2023: 4926-4931 - 2022
- [j22]Pavel Krömer, Vojtech Uher, Václav Snásel:
Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems. IEEE Trans. Evol. Comput. 26(1): 43-57 (2022) - [c175]Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha:
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. BIOMA 2022: 54-68 - [c174]Pavel Krömer, Vojtech Uher:
Optimization of real-world supply routes by nature-inspired metaheuristics. CEC 2022: 1-10 - [c173]Amit Dua, Pavel Krömer, Zbigniew J. Czech, Tomasz Jastrzab:
A Bi-objective Genetic Algorithm for Wireless Sensor Network Optimization. CISIS 2022: 147-159 - [c172]Pavel Krömer, Maryam Olfati:
Stacked Differential Evolution for Data Envelopment Analysis. CSCI 2022: 323-329 - [c171]Pavel Krömer, Vojtech Uher, Andrejaana Andova, Tea Tusar, Bogdan Filipic:
Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. CSCI 2022: 336-342 - [c170]Pavel Krömer, Vojtech Uher:
The effect of decoding fairness on particle swarm optimization for the p-median problem. GECCO Companion 2022: 1650-1657 - [c169]Vojtech Uher, Pavel Krömer:
Lehmer Encoding for Evolutionary Algorithms on Traveling Salesman Problem. ICMLT 2022: 216-222 - [c168]Quoc-Dung Nguyen, Nguyet-Minh Phan, Pavel Krömer:
OCR Error Correction for Vietnamese OCR Text with Different Edit Distances. INCoS 2022: 130-139 - [c167]Radovan Fusek, Pavel Krömer:
A Neural System for Acute Disease Detection from Facial Images. INCoS 2022: 413-421 - [c166]Amit Dua, Tomasz Jastrzab, Zbigniew J. Czech, Pavel Krömer:
A Randomized Algorithm for Wireless Sensor Network Lifetime Optimization. Q2SWinet 2022: 87-93 - 2021
- [j21]Tarek Batiha, Pavel Krömer:
Design and analysis of efficient neural intrusion detection for wireless sensor networks. Concurr. Comput. Pract. Exp. 33(23) (2021) - [j20]Jan Platos, Pavel Krömer, Miroslav Voznák, Václav Snásel:
Population data mobility retrieval at territory of Czechia in pandemic COVID-19 period. Concurr. Comput. Pract. Exp. 33(23) (2021) - [c165]Pavel Krömer, Jana Nowaková:
Medical Image Analysis with NVIDIA Jetson GPU Modules. INCoS 2021: 233-242 - [c164]Pavel Krömer:
Towards Better Visualization of Permutation Evolution. SSCI 2021: 1-8 - 2020
- [j19]Václav Snásel, Pavel Krömer, Jakub Safarik, Jan Platos:
JPEG steganography with particle swarm optimization accelerated by AVX. Concurr. Comput. Pract. Exp. 32(8) (2020) - [j18]Nizar Rokbani, Pavel Krömer, Ikram Twir, Adel M. Alimi:
A Hybrid Hierarchical Heuristic-ACO With Local Search Applied to Travelling Salesman Problem, AS-FA-Ls. Int. J. Syst. Dyn. Appl. 9(3): 58-73 (2020) - [j17]Pavel Krömer, Martin Hasal, Jana Nowaková, Jana Heckenbergerova, Petr Musílek:
Statistical and Nature-Inspired Modeling of Vehicle Flows by Using Finite Mixtures of Simple Circular Normal Distributions. IEEE Intell. Transp. Syst. Mag. 12(4): 182-194 (2020) - [j16]Sebastián Basterrech, Pavel Krömer:
A nature-inspired biomarker for mental concentration using a single-channel EEG. Neural Comput. Appl. 32(12): 7941-7956 (2020) - [j15]Pavel Krömer, Jan Platos, Václav Snásel:
Differential evolution for the optimization of low-discrepancy generalized Halton sequences. Swarm Evol. Comput. 54: 100649 (2020) - [c163]Pavel Krömer, Jan Platos, Václav Snásel:
Self-organizing Migrating Algorithm for the Single Row Facility Layout Problem. CEC 2020: 1-8 - [c162]Pavel Krömer, Jan Platos, Václav Snásel:
Solving the single row facility layout problem by differential evolution. GECCO 2020: 210-218 - [c161]Tarek Batiha, Pavel Krömer:
Evolutionary Fuzzy Rules for Intrusion Detection in Wireless Sensor Networks. INCoS 2020: 149-160 - [c160]Tarek Batiha, Pavel Krömer:
Accelerated Neural Intrusion Detection for Wireless Sensor Networks. INCoS 2020: 204-215 - [c159]Jana Nowaková, Pavel Krömer, Jan Platos, Václav Snásel:
Preprocessing COVID-19 Radiographic Images by Evolutionary Column Subset Selection. INCoS 2020: 425-436
2010 – 2019
- 2019
- [j14]Nizar Rokbani, Pavel Krömer, Ikram Twir, Adel M. Alimi:
A new hybrid gravitational particle swarm optimisation-ACO with local search mechanism, PSOGSA-ACO-Ls for TSP. Int. J. Intell. Eng. Informatics 7(4): 384-398 (2019) - [c158]Pavel Krömer, Jan Janousek, Jan Platos:
Random Key Self-Organizing Migrating Algorithm for Permutation Problems. CEC 2019: 2878-2885 - [c157]Petr Gajdos, Marek Behálek, Jan Janousek, Pavel Krömer:
QDSOMA: Towards the Utilization of Quantum Computing within SOMA. CEC 2019: 2900-2907 - [c156]Tarek Batiha, Michal Prauzek, Pavel Krömer:
Intrusion Detection in Wireless Sensor Networks by an Ensemble of Artificial Neural Networks. KES-IDT (1) 2019: 323-333 - [c155]Pavel Krömer, Jan Platos, Václav Snásel:
Optimization of Generalized Halton Sequences by Differential Evolution. LION 2019: 370-382 - 2018
- [j13]Pavel Krömer, Jan Platos, Jana Nowaková, Václav Snásel:
Optimal column subset selection for image classification by genetic algorithms. Ann. Oper. Res. 265(2): 205-222 (2018) - [j12]Pavel Krömer, Jan Platos, Jana Nowaková, Václav Snásel:
An acceleration of quasigroup operations by residue arithmetic. Concurr. Comput. Pract. Exp. 30(2) (2018) - [c154]Hikmat Dashdamirov, Sebastián Basterrech, Pavel Krömer:
A Nature-inspired System for Mental State Recognition. CEC 2018: 1-8 - [c153]Pavel Krömer, Jana Nowaková:
Guided Genetic Algorithm for Information Diffusion Problems. CEC 2018: 1-8 - [c152]Pavel Krömer, Jana Nowaková, Martin Hasal:
Towards a New Evolutionary Algorithm for the Minimum Tollbooth Problem. CSoNet 2018: 116-125 - [c151]Pavel Krömer, Martin Hasal, Jana Nowaková, Jana Heckenbergerova, Petr Musílek:
Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions. ITSC 2018: 1285-1290 - [e6]Pavel Krömer, Enrique Alba, Jeng-Shyang Pan, Václav Snásel:
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Málaga, Spain, October 9-11, 2017. Advances in Intelligent Systems and Computing 682, Springer 2018, ISBN 978-3-319-68526-7 [contents] - 2017
- [j11]Ladislav Zjavka, Pavel Krömer, Stanislav Misák, Václav Snásel:
Modelling the Photovoltaic output Power using the differential Polynomial Network and Evolutionary fuzzy Rules. Math. Model. Anal. 22(1): 78-94 (2017) - [c150]Pavel Krömer, Milos Kudelka, Roman Senkerik, Michal Pluhacek:
Differential evolution with preferential interaction network. CEC 2017: 1916-1923 - [c149]Petr Musílek, Pavel Krömer, Rodrigo Martins, Holger C. Hesse:
Optimal energy management of residential PV/HESS using evolutionary fuzzy control. CEC 2017: 2094-2101 - [c148]Pavel Krömer, Jana Nowaková:
Guided Genetic Algorithm for the Influence Maximization Problem. COCOON 2017: 630-641 - [c147]Pavel Krömer, Jan Platos:
Evaluation of Traveling Salesman Problem Instance Hardness by Clustering. ECC 2017: 379-387 - [c146]Pavel Krömer, Jana Heckenbergerova, Petr Musílek:
Accurate mixed weibull distribution fitting by differential evolution. GECCO 2017: 1161-1168 - [c145]Pavel Krömer, Jan Platos:
Simultaneous Prediction of Wind Speed and Direction by Evolutionary Fuzzy Rule Forest. ICCS 2017: 295-304 - [c144]Jan Platos, Jana Nowaková, Pavel Krömer, Václav Snásel:
Space-Filling Curves based on Residue Number System. INCoS 2017: 53-61 - [c143]Pavel Krömer, Jan Platos, Václav Snásel:
Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution. INCoS 2017: 336-348 - [c142]Pavel Krömer, Jan Platos, Milos Kudelka:
Network measures and evaluation of traveling salesman instance hardness. SSCI 2017: 1-7 - 2016
- [j10]Michal Prauzek, Pavel Krömer, James Rodway, Petr Musílek:
Differential evolution of fuzzy controller for environmentally-powered wireless sensors. Appl. Soft Comput. 48: 193-206 (2016) - [j9]Jaromir Konecny, Michal Prauzek, Pavel Krömer, Petr Musílek:
Novel Point-to-Point Scan Matching Algorithm Based on Cross-Correlation. Mob. Inf. Syst. 2016: 6463945:1-6463945:11 (2016) - [c141]Pavel Krömer, Petr Gajdos:
Evaluation of differential evolution with interaction network on a real-parameter optimization benchmark. CEC 2016: 2974-2981 - [c140]Pavel Krömer, Jan Platos:
Genetic algorithm for entropy-based feature subset selection. CEC 2016: 4486-4493 - [c139]James Rodway, Pavel Krömer, Soheila Karimi, Petr Musílek:
Differential evolution optimized fuzzy controller for wireless sensor network energy management. FUZZ-IEEE 2016: 352-358 - [c138]Pavel Krömer, Jan Platos:
Evolutionary Feature Subset Selection with Compression-based Entropy Estimation. GECCO 2016: 933-940 - [c137]Pavel Krömer, Jaromir Konecny, Michal Prauzek:
Point-Based Scan Matching by Differential Evolution. INCoS 2016: 215-221 - [c136]Milos Kudelka, Jan Platos, Pavel Krömer:
Author Evaluation Based on H-Index and Citation Response. INCoS 2016: 375-379 - [c135]Sonia Kefi, Nizar Rokbani, Pavel Krömer, Adel M. Alimi:
Ant supervised by PSO and 2-Opt algorithm, AS-PSO-2Opt, applied to Traveling Salesman Problem. SMC 2016: 4866-4871 - [e5]Václav Snásel, Ajith Abraham, Pavel Krömer, Millie Pant, Azah Kamilah Muda:
Innovations in Bio-Inspired Computing and Applications - Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) held in Kochi, India during December 16-18, 2015. Advances in Intelligent Systems and Computing 424, Springer 2016, ISBN 978-3-319-28030-1 [contents] - 2015
- [j8]Milos Kudelka, Sarka Zehnalova, Zdenek Horak, Pavel Krömer, Václav Snásel:
Local Dependency in Networks. Int. J. Appl. Math. Comput. Sci. 25(2): 281-293 (2015) - [j7]Milos Kudelka, Pavel Krömer, Martin Radvanský, Zdenek Horak, Václav Snásel:
Efficient visualization of social networks based on modified Sammon's mapping. Swarm Evol. Comput. 25: 63-71 (2015) - [j6]Petr Musílek, Pavel Krömer, Tomás Barton:
Review of nature-inspired methods for wake-up scheduling in wireless sensor networks. Swarm Evol. Comput. 25: 100-118 (2015) - [c134]Pavel Krömer, Jan Platos:
A Comparison of Differential Evolution and Genetic Algorithms for the Column Subset Selection Problem. CORES 2015: 223-232 - [c133]Pavel Krömer, Jan Platos, Václav Snásel:
Traditional and self-adaptive differential evolution for the p-median problem. CYBCONF 2015: 299-304 - [c132]Petr Musílek, Pavel Krömer, James Rodway, Michal Prauzek:
Pressure-based forecasting of next-day solar energy availability using evolutionary fuzzy rules. FUZZ-IEEE 2015: 1-8 - [c131]Sonia Kefi, Nizar Rokbani, Pavel Krömer, Adel M. Alimi:
A New Ant Supervised-PSO Variant Applied to Traveling Salesman Problem. HIS 2015: 87-101 - [c130]Pavel Krömer, Petr Musílek, James Rodway, Marek Z. Reformat, Michal Prauzek:
Estimating Harvestable Solar Energy from Atmospheric Pressure Using Support Vector Regression. INCoS 2015: 192-199 - [c129]Michal Prauzek, Petr Musílek, Pavel Krömer, James Rodway, Martin Stankus, Jakub Hlavica:
Energy Availability Forecasting for Harvesting-aware Wireless Sensor Networks: Analysis of Energy Demand of a Predictor Based on Evolutionary Fuzzy Rules. INCoS 2015: 200-203 - [c128]Obiora Sam Ezeora, Jana Heckenbergerova, Petr Musílek, Pavel Krömer:
Evaluation of Errors Caused by Lowering Frequency of Measurements of an Environmental Sensor Station. INCoS 2015: 204-210 - [c127]Jan Platos, Pavel Krömer, Václav Snásel:
Efficient Area Association Using Space Filling Curves. INCoS 2015: 322-326 - [c126]Olfa Bali, Walid Elloumi, Pavel Krömer, Adel M. Alimi:
GPU Particle Swarm Optimization Applied to Travelling Salesman Problem. MCSoC 2015: 112-119 - [c125]Pavel Krömer, Zdenek Matej, Petr Musílek, Vaclav Prenosil, Frantisek Cvachovec:
Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines. SMC 2015: 2638-2642 - [c124]Pavel Krömer, Petr Gajdos, Ivan Zelinka:
Towards a Network Interpretation of Agent Interaction in Ant Colony Optimization. SSCI 2015: 1126-1132 - [c123]Petr Gajdos, Pavel Krömer, Ivan Zelinka:
Network Visualization of Population Dynamics in the Differential Evolution. SSCI 2015: 1522-1528 - [c122]Petr Musílek, Pavel Krömer, Tomás Barton:
E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks. WI-IAT (3) 2015: 231-232 - [p6]Pavel Krömer, Petr Musílek:
Bio-inspired Routing Strategies for Wireless Sensor Networks. Propagation Phenomena in Real World Networks 2015: 155-181 - [e4]Ajith Abraham, Pavel Krömer, Václav Snásel:
Afro-European Conference for Industrial Advancement - Proceedings of the First International Afro-European Conference for Industrial Advancement, AECIA 2014, Addis Ababa, Ethiopia, 17-19 November 2014. Advances in Intelligent Systems and Computing 334, Springer 2015, ISBN 978-3-319-13571-7 [contents] - [i1]Milos Kudelka, Jan Platos, Pavel Krömer:
Author Evaluation Based on H-index and Citation Response. CoRR abs/1511.05709 (2015) - 2014
- [j5]Pavel Krömer, Jan Platos, Václav Snásel:
Data Parallel density-based genetic clustering on CUDA Architecture. Concurr. Comput. Pract. Exp. 26(5): 1097-1112 (2014) - [j4]Pavel Krömer, Jan Platos, Václav Snásel:
Nature-Inspired Meta-Heuristics on Modern GPUs: State of the Art and Brief Survey of Selected Algorithms. Int. J. Parallel Program. 42(5): 681-709 (2014) - [j3]Pavel Krömer, Ivan Zelinka, Václav Snásel:
Behaviour of pseudo-random and chaotic sources of stochasticity in nature-inspired optimization methods. Soft Comput. 18(4): 619-629 (2014) - [c121]Jana Heckenbergerova, Petr Musílek, Pavel Krömer:
Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization. AECIA 2014: 15-26 - [c120]Pavel Krömer, Milos Kudelka, Václav Snásel, Martin Radvanský, Zdenek Horak:
Computing Sammon's Projection of Social Networks by Differential Evolution. AINA 2014: 1001-1006 - [c119]Pavel Krömer, Ivan Zelinka, Václav Snásel:
Can deterministic chaos improve differential evolution for the linear ordering problem? IEEE Congress on Evolutionary Computation 2014: 1443-1448 - [c118]Pavel Krömer, Jan Platos, Václav Snásel:
Genetic Algorithm for the Column Subset Selection Problem. CISIS 2014: 16-22 - [c117]Pavel Krömer, Jan Platos:
New Genetic Algorithm for the p-Median Problem. ECC (2) 2014: 35-44 - [c116]Pavel Krömer, Jan Platos:
Genetic algorithm for sampling from scale-free data and networks. GECCO 2014: 793-800 - [c115]Pavel Krömer, Michal Prauzek, Petr Musílek, Tomás Barton:
Optimization of Wireless Sensor Node Parameters by Differential Evolution and Particle Swarm Optimization. IBICA 2014: 13-22 - [c114]Sarka Zehnalova, Milos Kudelka, Zdenek Horak, Pavel Krömer, Václav Snásel:
Comparison of Local and Global Ranking in Networks. IBICA 2014: 355-364 - [c113]Václav Snásel, Pavel Krömer:
Multipopulational Metaheuristic Approaches to Real-Parameter Optimization. ICGEC 2014: 99-108 - [c112]Petr Musílek, Pavel Krömer, Michal Prauzek:
Location-specific optimization of energy harvesting environmental monitoring systems. IES 2014: 8-13 - [c111]Pavel Krömer, Petr Musílek, Emil Pelikán, Pavel Krc, Pavel Jurus, Krystof Eben:
Support Vector Regression of multiple predictive models of downward short-wave radiation. IJCNN 2014: 651-657 - [c110]Pavel Krömer, Michal Prauzek, Petr Musílek:
Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution. SECON Workshops 2014: 51-56 - [c109]Pavel Krömer, Jan Platos:
Solving the p-median problem by a simple differential evolution. SMC 2014: 3503-3507 - [e3]Ajith Abraham, Pavel Krömer, Václav Snásel:
Innovations in Bio-inspired Computing and Applications - Proceedings of the 4th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2013, August 22 -24, 2013 - Ostrava, Czech Republic. Advances in Intelligent Systems and Computing 237, Springer 2014, ISBN 978-3-319-01780-8 [contents] - [e2]Pavel Krömer, Ajith Abraham, Václav Snásel:
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2014, June 23-25, 2014, Ostrava, Czech Republic. Advances in Intelligent Systems and Computing 303, Springer 2014, ISBN 978-3-319-08155-7 [contents] - [e1]Jeng-Shyang Pan, Pavel Krömer, Václav Snásel:
Genetic and Evolutionary Computing - Proceedings of the Seventh International Conference on Genetic and Evolutionary Computing, ICGEC 2013, August 25-27, 2013, Prague, Czech Republic. Advances in Intelligent Systems and Computing 238, Springer 2014, ISBN 978-3-319-01795-2 [contents] - 2013
- [j2]Pavel Krömer, Suhail S. J. Owais, Jan Platos, Václav Snásel:
Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression. Comput. Math. Appl. 66(2): 190-200 (2013) - [c108]Pavel Krömer, Jan Platos, Václav Snásel:
Parallel Differential Evolution in Unified Parallel C. IEEE Congress on Evolutionary Computation 2013: 642-649 - [c107]Pavel Krömer, Tibebe Beshah, Dejene Ejigu, Václav Snásel, Jan Platos, Ajith Abraham:
Mining traffic accident features by evolutionary fuzzy rules. CIVTS 2013: 38-43 - [c106]Pavel Krömer, Jan Platos, Václav Snásel:
Scalable differential evolution for many-core and clusters in Unified Parallel C. CYBCONF 2013: 180-185 - [c105]Pavel Krömer, Jan Platos, Václav Snásel:
Mining multi-class industrial data with evolutionary fuzzy rules. CYBCONF 2013: 191-196 - [c104]Svatopluk Stolfa, Jakub Stolfa, Pavel Krömer, Ondrej Kobersky, Martin Kopka, Václav Snásel:
Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters. IBICA 2013: 37-47 - [c103]Eshetie Berhan, Pavel Krömer, Daniel Kitaw, Ajith Abraham, Václav Snásel:
Solving Stochastic Vehicle Routing Problem with Real Simultaneous Pickup and Delivery Using Differential Evolution. IBICA 2013: 187-200 - [c102]Jakub Stolfa, Ondrej Kobersky, Pavel Krömer, Svatopluk Stolfa, Martin Kopka, Václav Snásel:
Comparison of fuzzy rules and SVM approach to the value estimation of the use case parameters. IFSA/NAFIPS 2013: 789-794 - [c101]Jan Platos, Pavel Krömer:
Prediction of Multi-class Industrial Data. INCoS 2013: 64-68 - [c100]Ales Vítek, Martin Stachon, Pavel Krömer, Václav Snásel:
Towards the Modeling of Atomic and Molecular Clusters Energy by Support Vector Regression. INCoS 2013: 121-126 - [c99]Pavel Krömer, Václav Snásel, Ivan Zelinka:
Randomness and Chaos in Genetic Algorithms and Differential Evolution. INCoS 2013: 196-201 - [c98]Pavel Krömer, Milos Kudelka, Zdenek Horak, Václav Snásel:
Evolution of Scale-Freeness in a Co-authorship Network. INCoS 2013: 668-672 - [c97]Pavel Krömer, Jan Platos, Václav Snásel:
A brief survey of advances in Particle Swarm Optimization on Graphic Processing Units. NaBIC 2013: 182-188 - [c96]Pavel Krömer, Jan Platos, Václav Snásel:
A brief survey of differential evolution on Graphic Processing Units. SDE 2013: 157-164 - [c95]Pavel Krömer, Václav Snásel, Ivan Zelinka:
On the Use of Chaos in Nature-Inspired Optimization Methods. SMC 2013: 1684-1689 - [c94]Václav Snásel, Pavel Krömer, Ajith Abraham:
Particle Swarm Optimization with Protozoic Behaviour. SMC 2013: 2026-2030 - [c93]Pavel Krömer, Ajith Abraham, Václav Snásel, Eshetie Berhan, Daniel Kitaw:
On the differential evolution for vehicle routing problem. SoCPaR 2013: 384-389 - [p5]Pavel Krömer, Jan Platos, Václav Snásel, Ajith Abraham:
Many-Threaded Differential Evolution on the GPU. Massively Parallel Evolutionary Computation on GPGPUs 2013: 121-147 - 2012
- [j1]Milos Kudelka, Zdenek Horak, Václav Snásel, Pavel Krömer, Jan Platos, Ajith Abraham:
Social and swarm aspects of co-authorship network. Log. J. IGPL 20(3): 634-643 (2012) - [c92]Jan Platos, Pavel Krömer, Václav Snásel, Ajith Abraham:
Searching similar images - Vector quantization with S-tree. CASoN 2012: 384-388 - [c91]Pavel Krömer, Václav Snásel, Jan Platos, Milos Kudelka, Zdenek Horak:
An ACO inspired weighting approach for the spectral partitioning of co-authorship networks. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c90]Václav Snásel, Pavel Krömer, Jan Platos, Milos Kudelka, Zdenek Horak:
On Spectral Partitioning of Co-authorship Networks. CISIM 2012: 302-313 - [c89]Pavel Krömer, Jan Platos, Václav Snásel:
Evolutionary Clustering on CUDA. ECAI 2012: 909-910 - [c88]Pavel Krömer, Lukás Prokop, Václav Snásel, Stanislav Misák, Jan Platos, Ajith Abraham:
Evolutionary prediction of photovoltaic power plant energy production. GECCO (Companion) 2012: 35-42 - [c87]Jan Platos, Pavel Krömer:
Improving Evolved Alphabet Using Tabu Set. HAIS (1) 2012: 655-666 - [c86]Pavel Krömer, Emilio Corchado, Václav Snásel, Jan Platos, Laura García-Hernandez:
Neural PCA and Maximum Likelihood Hebbian Learning on the GPU. ICANN (2) 2012: 132-139 - [c85]Lukás Prokop, Stanislav Misák, Tomás Novosád, Pavel Krömer, Jan Platos, Václav Snásel:
Photovoltaic Power Plant Output Estimation by Neural Networks and Fuzzy Inference. IDEAL 2012: 810-817 - [c84]Pavel Krömer, Tomás Novosád, Václav Snásel, Vicente Vera, Beatriz Hernando, Laura García-Hernandez, Héctor Quintián-Pardo, Emilio Corchado, Raquel Redondo, Javier Sedano, Alvaro Enrique Garcia:
Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules. IDEAL 2012: 842-849 - [c83]Pavel Krömer, Jan Platos, Václav Snásel:
Independent Task Scheduling by Artificial Immune Systems, Differential Evolution, and Genetic Algorithms. INCoS 2012: 28-32 - [c82]Jan Platos, Pavel Krömer:
Improving Compression Using Words. INCoS 2012: 41-46 - [c81]Tibebe Beshah, Dejene Ejigu, Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Learning the Classification of Traffic Accident Types. INCoS 2012: 463-468 - [c80]Jakub Stolfa, Ondrej Kobersky, Martin Kopka, Pavel Krömer, Svatopluk Stolfa, Jan Kozuszník, Václav Snásel:
Value estimation of the use case parameters using SOM and fuzzy rules. MEDES 2012: 166-173 - [c79]Pavel Krömer, Jan Platos, Václav Snásel:
Practical results of artificial immune Systems for combinatorial optimization problems. NaBIC 2012: 194-199 - [c78]Suhail S. J. Owais, Pavel Krömer, Jan Platos, Václav Snásel, Ivan Zelinka:
Data Mining by Symbolic Fuzzy Classifiers and Genetic Programming. NOSTRADAMUS 2012: 273-282 - [c77]Pavel Krömer, Jan Platos, Václav Snásel:
GPU Accelerated Genetic Clustering. SEAL 2012: 410-419 - [c76]Jan Platos, Pavel Krömer:
Searching for optimal alphabet for data compression using simulated annealing. SMC 2012: 468-473 - [c75]Pavel Krömer, Jan Platos, Václav Snásel:
Genetic algorithm for clustering accelerated by the CUDA platform. SMC 2012: 1005-1010 - [c74]Lukás Prokop, Stanislav Misák, Tomás Novosád, Pavel Krömer, Jan Platos, Václav Snásel:
Artificially evolved soft computing models for photovoltaic power plant output estimation. SMC 2012: 1011-1016 - [c73]Jan Platos, Václav Snásel, Tomás Jezowicz, Pavel Krömer, Ajith Abraham:
A PSO-based document classification algorithm accelerated by the CUDA Platform. SMC 2012: 1936-1941 - [c72]Milos Kudelka, Martin Radvanský, Zdenek Horak, Pavel Krömer, Václav Snásel:
Soft identification of experts in DBLP using FCA and fuzzy rules. SMC 2012: 1942-1947 - [c71]Pavel Krömer, Jan Platos, Václav Snásel:
Implementing Artificial Immune Systems for the Linear Ordering Problem. SOCO 2012: 53-62 - [c70]Eliska Ochodkova, Jiri Dvorský, Pavel Krömer, Pavel Tucek:
On Fitness Function Based upon Quasigroups Power Sequences. CISIS/ICEUTE/SOCO Special Sessions 2012: 141-150 - [c69]Pavel Krömer, Tomás Novosád, Václav Snásel, Vicente Vera, Beatriz Hernando, Laura García-Hernandez, Héctor Quintián-Pardo, Emilio Corchado, Raquel Redondo, Javier Sedano, Alvaro Enrique Garcia:
Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter. SOCO 2012: 163-172 - 2011
- [c68]Václav Snásel, Pavel Krömer, Jan Platos, Milos Kudelka, Zdenek Horak, Katarzyna Wegrzyn-Wolska:
Two New Methods for Network Analysis: Ant Colony Optimization and Reduction by Forgetting. AWIC 2011: 225-234 - [c67]Pavel Krömer, Jan Platos, Václav Snásel:
Differential evolution for the linear ordering problem implemented on CUDA. IEEE Congress on Evolutionary Computation 2011: 796-802 - [c66]Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer:
A modified differential evolution for autonomous deployment and localization of sensor nodes. GECCO (Companion) 2011: 235-236 - [c65]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Many-threaded implementation of differential evolution for the CUDA platform. GECCO 2011: 1595-1602 - [c64]Pavel Krömer, Jan Platos, Václav Snásel, Ajith Abraham:
An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU. HAIS (1) 2011: 372-379 - [c63]Jan Platos, Václav Snásel, Pavel Krömer, Petr Fiala:
Tension estimation by fuzzy predictors in heavy facilities. HIS 2011: 546-550 - [c62]Jan Platos, Pavel Krömer:
Reducing Alphabet Using Genetic Algorithms. ICDIPC (2) 2011: 82-92 - [c61]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham, Lukás Prokop, Stanislav Misák:
Genetically Evolved Fuzzy Predictor for Photovoltaic Power Output Estimation. INCoS 2011: 41-46 - [c60]Václav Snásel, Pavel Krömer, Jan Platos:
Towards the analysis of co-authorship networks by iterative spectral partitioning. ISDA 2011: 82-87 - [c59]Jan Platos, Pavel Krömer:
Optimizing alphabet using genetic algorithms. ISDA 2011: 498-503 - [c58]Marek Behalek, Stanislav Böhm, Pavel Krömer, Martin Surkovský, Ondrej Meca:
Parallelization of ant colony optimization algorithm using Kaira. ISDA 2011: 510-515 - [c57]Pavel Krömer, Jan Martinovic, Michal Radecký, Radek Tomis, Václav Snásel:
Ant colony inspired algorithm for adaptive traffic routing. NaBIC 2011: 329-334 - [c56]Pavel Krömer, Jan Platos, Václav Snásel, Ajith Abraham:
A comparison of many-threaded differential evolution and genetic algorithms on CUDA. NaBIC 2011: 509-514 - [c55]Eliska Ochodkova, Pavel Krömer, Jiri Dvorský, Jan Platos, Ajith Abraham, Václav Snásel:
Genetic search for quasigroups with heterogeneous power sequences. NaBIC 2011: 533-539 - [c54]Jan Platos, Pavel Krömer:
Evolving alphabet using genetic algorithms. NaBIC 2011: 575-581 - [c53]Pavel Krömer, Jan Platos, Václav Snásel, Ajith Abraham:
Fuzzy classification by evolutionary algorithms. SMC 2011: 313-318 - [c52]Pavel Krömer, Václav Snásel, Jan Platos:
Learning Patterns from Data by an Evolutionary-Fuzzy Approach. SOCO 2011: 127-135 - [p4]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham, Hesam Ezakian:
Evolving Schedules of Independent Tasks by Differential Evolution. Intelligent Networking, Collaborative Systems and Applications 2011: 79-94 - 2010
- [c51]Jan Platos, Pavel Krömer, Václav Snásel, Ajith Abraham:
Scaling IDS construction based on Non-negative Matrix factorization using GPU computing. IAS 2010: 86-91 - [c50]Pavel Krömer, Jan Platos, Václav Snásel, Ajith Abraham:
Towards intrusion detection by information retrieval and genetic programming. IAS 2010: 112-117 - [c49]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Evolving Fuzzy Classifier for Data Mining - an Information Retrieval Approach. CISIS 2010: 25-32 - [c48]Václav Snásel, Jiri Dvorský, Eliska Ochodkova, Pavel Krömer, Jan Platos, Ajith Abraham:
Evolving Quasigroups by Genetic Algorithms. DATESO 2010: 108-117 - [c47]Pavel Krömer, Václav Snásel, Jan Platos, Suhail S. J. Owais:
Search personalization in hyperlinked environments by relevance propagation and ant colony optimization. HIS 2010: 141-146 - [c46]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Evolutionary improvement of search queries and its parameters. HIS 2010: 147-152 - [c45]Václav Snásel, Jiri Dvorský, Eliska Ochodkova, Pavel Krömer, Jan Platos, Ajith Abraham:
Genetic Algorithms Evolving Quasigroups with Good Pseudorandom Properties. ICCSA (3) 2010: 472-482 - [c44]Pavel Krömer, Jan Platos, Václav Snásel:
Data mining using NMF and generalized matrix inverse. ISDA 2010: 409-414 - [c43]Pavel Krömer, Jan Platos, Václav Snásel:
Fast Dimension Reduction Based on NMF. ISICA (1) 2010: 424-433 - [c42]Václav Snásel, Jan Platos, Pavel Krömer, Nabil Ouddane, Ajith Abraham:
Interleaver optimization by population based metaheuristics. NaBIC 2010: 672-677 - [c41]Jan Platos, Petr Gajdos, Pavel Krömer, Václav Snásel:
Non-negative Matrix Factorization on GPU. NDT (1) 2010: 21-30 - [c40]Václav Snásel, Pavel Krömer, Jan Platos, Ajith Abraham:
The Evolution of Fuzzy Classifier for Data Mining with Applications. SEAL 2010: 349-358 - [p3]Václav Snásel, Ajith Abraham, Suhail S. J. Owais, Jan Platos, Pavel Krömer:
User Profiles Modeling in Information Retrieval Systems. Emergent Web Intelligence 2010: 169-198
2000 – 2009
- 2009
- [c39]Jan Platos, Václav Snásel, Pavel Krömer, Ajith Abraham:
Detecting Insider Attacks Using Non-negative Matrix Factorization. IAS 2009: 693-696 - [c38]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms. HIS (3) 2009: 376-381 - [c37]Václav Snásel, Ajith Abraham, Jiri Dvorský, Pavel Krömer, Jan Platos:
Hash Functions Based on Large Quasigroups. ICCS (1) 2009: 521-529 - [c36]Pavel Krömer, Václav Snásel, Jan Platos, Nabil Ouddane:
On turbo code interleavers optimized by bit error rate evolution and free distance evolution. ICUMT 2009: 1-6 - [c35]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham, Hesam Izakian:
Scheduling Independent Tasks on Heterogeneous Distributed Environments by Differential Evolution. INCoS 2009: 170-174 - [c34]Václav Snásel, Pavel Krömer, Jan Platos:
Differential Evolution and Genetic Algorithms for the Linear Ordering Problem. KES (1) 2009: 139-146 - [c33]Václav Snásel, Ajith Abraham, Jiri Dvorský, Eliska Ochodkova, Jan Platos, Pavel Krömer:
Searching for Quasigroups for Hash Functions with Genetic Algorithms. NaBIC 2009: 367-372 - [c32]Pavel Krömer, Jan Platos, Václav Snásel:
Modeling Permutations for Genetic Algorithms. SoCPaR 2009: 100-105 - [p2]Václav Snásel, Jan Platos, Pavel Krömer, Nabil Ouddane:
Genetic Algorithms for the Use in Combinatorial Problems. Foundations of Computational Intelligence (3) 2009: 3-22 - [p1]Václav Snásel, Ajith Abraham, Suhail S. J. Owais, Jan Platos, Pavel Krömer:
Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System. Foundations of Computational Intelligence (4) 2009: 299-324 - 2008
- [c31]Václav Snásel, Jan Platos, Pavel Krömer, Ajith Abraham:
Matrix Factorization Approach for Feature Deduction and Design of Intrusion Detection Systems. IAS 2008: 172-179 - [c30]Václav Snásel, Pavel Krömer, Nabil Ouddane:
Giving Biological Behaviour to the Turbo Codes Efficient Interleaver with the Genetic Algorithms (New Interleaver Pattern BGOI). Asia International Conference on Modelling and Simulation 2008: 240-246 - [c29]Pavel Krömer, Václav Snásel, Jan Platos:
Investigating Query Similarity Measures for Collaborative Web Search. CISIM 2008: 27-32 - [c28]Václav Snásel, Jan Platos, Pavel Krömer, Nabil Ouddane:
Genetic Algorithms Searching for Turbo Code Interleaver and Solving Linear Ordering Problem. CISIM 2008: 71-77 - [c27]Jan Platos, Jana Kocibova, Pavel Krömer, Pavel Moravec, Václav Snásel:
Tensor Decomposition for 3D Bars Problem. CISIM 2008: 195-200 - [c26]Suhail S. J. Owais, Václav Snásel, Pavel Krömer, Ajith Abraham:
Survey: Using Genetic Algorithm Approach in Intrusion Detection Systems Techniques. CISIM 2008: 300-307 - [c25]Ajith Abraham, Pavel Krömer, Václav Snásel, Nabil Ouddane:
Evolving Turbo Code Interleavers by Genetic Algorithms. CISIS 2008: 155-161 - [c24]Jan Platos, Jana Kocibova, Pavel Krömer, Pavel Moravec, Václav Snásel:
Tensor Decomposition for 3D Bars Problem. DATESO 2008 - [c23]Václav Snásel, Jan Platos, Pavel Krömer:
Developing Genetic Algorithms for Boolean Matrix Factorization. DATESO 2008 - [c22]Václav Snásel, Jan Platos, Pavel Krömer, Nabil Ouddane:
Genetic Algorithms for Better Turbo Codes. DEXA Workshops 2008: 544-548 - [c21]Václav Snásel, Pavel Krömer, Jan Platos, Dusan Húsek:
On the Implementation of Boolean Matrix Factorization. DEXA Workshops 2008: 554-558 - [c20]Václav Snásel, Pavel Krömer, Jan Platos:
Evolutionary Approaches to Linear Ordering Problem. DEXA Workshops 2008: 566-570 - [c19]Nabil Ouddane, Pavel Krömer, Václav Snásel, Jan Platos:
Optimizing Turbo Codes Free distance Computation Garello's method by Genetic Algorithms. GEM 2008: 76-82 - [c18]Pavel Krömer, Václav Snásel, Jan Platos, Ajith Abraham:
Implicit User Modelling Using Hybrid Meta-Heuristics. HIS 2008: 42-47 - [c17]Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov:
Implementing Boolean Matrix Factorization. ICANN (1) 2008: 543-552 - [c16]Václav Snásel, Jan Platos, Pavel Krömer:
On Genetic Algorithms for Boolean Matrix Factorization. ISDA (2) 2008: 170-175 - [c15]Pavel Krömer, Václav Snásel, Jan Platos:
Comparing Query Similarity Measures for Collaborative Web Search. ISDA (2) 2008: 383-388 - [c14]Pavel Krömer, Václav Snásel, Jan Platos:
Evolving feasible linear ordering problem solutions. CSTST 2008: 337-342 - 2007
- [c13]Václav Snásel, Pavel Krömer, Suhail S. J. Owais, Dusan Húsek, Behzad Moshiri, Amir Keyhanipour:
Fusing Data and Optimizing Queries for Intelligent Search. DEXA Workshops 2007: 123-127 - [c12]Suhail S. J. Owais, Pavel Krömer, Václav Snásel, Saeedeh Maleki-Dizaji, Henry O. Nyongesa:
Upgrading Web Search Queries. DEXA Workshops 2007: 128-132 - [c11]Pavel Krömer, Václav Snásel, Jan Platos, Suhail S. J. Owais:
Implicit User Modelling for Query Optimization. DEXA Workshops 2007: 133-137 - [c10]Nabil Ouddane, Pavel Krömer, Václav Snásel:
Optimizing Turbo Code Interleaver for Satellite Communications by Genetic Algorithms. GEM 2007: 151-158 - [c9]Vilém Srovnal, Bohumil Horák, Václav Snásel, Jan Martinovic, Pavel Krömer, Jan Platos:
Strategy Description for Mobile Embedded Control Systems Exploiting the Multi-agent Technology. International Conference on Computational Science (2) 2007: 936-943 - [c8]Václav Snásel, Pavel Krömer, Suhail S. J. Owais, Henry O. Nyongesa, Saeedeh Maleki-Dizaji:
Evolving Web Search Expressions. ICNC (4) 2007: 532-538 - [c7]Pavel Krömer, Václav Snásel, Jan Platos, Nabil Ouddane:
Optimizing Interleaver for Turbo Codes by Genetic Algorithms. ICTAI (1) 2007: 423-428 - [c6]Václav Snásel, Pavel Krömer, Nabil Ouddane:
Genetic Algorithms for Turbo Code Interleaver Optimization. ISDA 2007: 277-282 - [c5]Pavel Krömer, Václav Snásel, Jan Platos, Suhail S. J. Owais:
Implicit User Modelling for Web Search Improvement. ISDA 2007: 309-314 - 2006
- [c4]Suhail S. J. Owais, Pavel Krömer, Václav Snásel, Dusan Húsek, Roman Neruda:
Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles. IEEE Congress on Evolutionary Computation 2006: 1499-1505 - 2005
- [c3]Suhail S. J. Owais, Pavel Krömer, Václav Snásel:
Evolutionary Learning of Boolean Queries by Genetic Programming. ADBIS Research Communications 2005 - [c2]Suhail S. J. Owais, Pavel Krömer, Václav Snásel:
Query optimization by Genetic Algorithms. DATESO 2005: 125-137 - [c1]Dusan Húsek, Václav Snásel, Suhail S. J. Owais, Pavel Krömer:
Using Genetic Algorithms for Boolean Queries Optimization. IMSA 2005: 178-184
Coauthor Index
Petr Musilek
aka: Petr Musílek
aka: Petr Musílek
[j20] [j19] [j15] [c163] [c162] [c159] [c158] [c155] [j13] [j12] [c147] [c145] [c144] [c143] [c142] [c140] [c138] [c136] [c134] [c133] [c127] [i1] [j5] [j4] [c118] [c117] [c116] [c109] [j2] [c108] [c107] [c106] [c105] [c101] [c97] [c96] [p5] [j1] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c83] [c82] [c81] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c71] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c56] [c55] [c54] [c53] [c52] [p4] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [p3] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [p2] [p1] [c31] [c29] [c28] [c27] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c11] [c9] [c7] [c5]
[j22] [c175] [j20] [j19] [j15] [c163] [c162] [c159] [c155] [j13] [j12] [e6] [j11] [c144] [c143] [e5] [j8] [j7] [c133] [c127] [e4] [j5] [j4] [j3] [c120] [c119] [c118] [c114] [c113] [e3] [e2] [e1] [j2] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [p5] [j1] [c92] [c91] [c90] [c89] [c88] [c86] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c77] [c75] [c74] [c73] [c72] [c71] [c69] [c68] [c67] [c65] [c64] [c63] [c61] [c60] [c57] [c56] [c55] [c53] [c52] [p4] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [p3] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [p2] [p1] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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