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2020 – today
- 2024
[c59]Kirsty Montague, Emma Hart
, Ben Paechter:
A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. EvoApplications@EvoStar 2024: 178-193- 2023
- [j10]Marcos Lupión, Nicolas C. Cruz, Juan F. Sanjuan, Ben Paechter, Pilar M. Ortigosa:
Accelerating neural network architecture search using multi-GPU high-performance computing. J. Supercomput. 79(7): 7609-7625 (2023) - [c58]Kirsty Montague, Emma Hart, Geoff Nitschke, Ben Paechter:
A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. EvoApplications@EvoStar 2023: 145-160 - 2022
- [c57]Marcos Lupión, Nicolás C. Cruz, Ben Paechter, Pilar M. Ortigosa:
On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture. MIC 2022: 133-142 - 2021
- [p2]Christopher Stone, Emma Hart, Ben Paechter:
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. Automated Design of Machine Learning and Search Algorithms 2021: 91-107
2010 – 2019
- 2019
- [c56]Paul Lapok, Alistair Lawson, Ben Paechter:
Evolving planar mechanisms for the conceptual stage of mechanical design. GECCO (Companion) 2019: 383-384 - 2018
- [j9]Eduardo Segredo, Ben Paechter, Carlos Segura, Carlos Ignacio Gonzalez-Vila:
On the comparison of initialisation strategies in differential evolution for large scale optimisation. Optim. Lett. 12(1): 221-234 (2018) - [c55]Christopher Stone, Emma Hart, Ben Paechter:
Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs. EvoApplications 2018: 578-593 - [c54]Emma Hart, Andreas S. W. Steyven, Ben Paechter:
Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm. GECCO 2018: 101-108 - [c53]Christopher Stone, Emma Hart, Ben Paechter:
On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. PPSN (1) 2018: 170-182 - [i2]Emma Hart, Andreas S. W. Steyven, Ben Paechter:
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. CoRR abs/1804.07655 (2018) - [i1]Andreas Steyven, Emma Hart, Ben Paechter:
An Investigation of Environmental Influence on the Benefits of Adaptation Mechanisms in Evolutionary Swarm Robotics. CoRR abs/1804.07663 (2018) - 2017
- [c52]Andreas Steyven, Emma Hart, Ben Paechter:
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. GECCO 2017: 155-162 - [c51]Paul Lapok, Alistair Lawson, Ben Paechter:
Evaluation of a genetic representation for outline shapes. GECCO (Companion) 2017: 1419-1422 - [c50]Rasmus Munk, Emma Hart, Ben Paechter:
Validation of a learning and evolving robot swarm. GECCO (Companion) 2017: 1687-1688 - 2016
- [c49]Eduardo Segredo, Ben Paechter, Emma Hart, Carlos Ignacio Gonzalez-Vila:
Hybrid parameter control approach applied to a diversity-based multi-objective memetic algorithm for frequency assignment problems. CEC 2016: 1517-1524 - [c48]Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Ben Paechter, Stefan Voß:
Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation. LION 2016: 296-305 - [c47]Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Voß, Emma Hart, Ben Paechter:
Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. PPSN 2016: 134-144 - [c46]Andreas Steyven, Emma Hart, Ben Paechter:
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. PPSN 2016: 921-931 - [c45]Baraq Ghaleb, Ahmed Yassin Al-Dubai, Elias Ekonomou, Ben Paechter, Mamoun Qasem:
Trickle-plus: Elastic Trickle algorithm for low-power networks and Internet of Things. WCNC 2016: 1-6 - [c44]Baraq Ghaleb, Ahmed Yassin Al-Dubai, Elias Ekonomou, Ben Paechter, Mamoun Qasem:
Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things. WCNC Workshops 2016: 103-108 - [e2]Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter:
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science 9921, Springer 2016, ISBN 978-3-319-45822-9 [contents] - 2015
- [j8]Kevin Sim, Emma Hart, Ben Paechter:
A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evol. Comput. 23(1): 37-67 (2015) - [c43]Emma Hart, Andreas Steyven, Ben Paechter:
Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. GECCO 2015: 169-176 - [c42]Andreas Steyven, Emma Hart, Ben Paechter:
The Cost of Communication: Environmental Pressure and Survivability in mEDEA. GECCO (Companion) 2015: 1239-1240 - 2013
- [c41]Kevin Sim, Emma Hart, Ben Paechter:
Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic. ECAL 2013: 856-863 - 2012
- [j7]Franco Zambonelli, Ben Paechter:
Introduction to the special section on pervasive adaptation. ACM Trans. Auton. Adapt. Syst. 7(1): 9:1-9:2 (2012) - [c40]Kevin Sim, Emma Hart, Ben Paechter:
A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. PPSN (2) 2012: 348-357 - 2011
- [j6]Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter:
Representations and Evolutionary Operators for the Scheduling of Pump Operations in Water Distribution Networks. Evol. Comput. 19(3): 429-467 (2011) - [c39]Ben Paechter, Jeremy Pitt, Nikola B. Serbedzija, Katina Michael, Jennifer Willies, Ingi Helgason:
Heaven and Hell: Visions for Pervasive Adaptation. FET 2011: 81-82 - [c38]Ingi Helgason, Jay Bradley, Callum Egan, Ben Paechter, Emma Hart:
This Pervasive Day: Creative, Interactive Methods for Encouraging Public Engagement with FET Research. FET 2011: 207-208 - 2010
- [j5]Barry McCollum, Andrea Schaerf, Ben Paechter, Paul McMullan, Rhydian Lewis, Andrew J. Parkes, Luca Di Gaspero, Rong Qu, Edmund K. Burke:
Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition. INFORMS J. Comput. 22(1): 120-130 (2010) - [c37]Emma Hart, Ben Paechter:
Towards Self-aware PerAda Systems. ICARIS 2010: 314-316
2000 – 2009
- 2009
- [c36]Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas:
Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224 - [c35]Ginés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos:
Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. HPCS 2009: 145-152 - 2008
- [c34]Bart G. W. Craenen, Ben Paechter:
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems. EvoCOP 2008: 13-24 - [c33]Despina Davoudani, Emma Hart, Ben Paechter:
Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model. ICARIS 2008: 95-106 - [c32]Chris McEwan, Emma Hart, Ben Paechter:
Boosting the Immune System. ICARIS 2008: 316-327 - 2007
- [j4]Raul Baños, Consolación Gil, Ben Paechter, Julio Ortega Lopera:
A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS. J. Math. Model. Algorithms 6(2): 213-230 (2007) - [j3]Rhydian Lewis, Ben Paechter:
Finding Feasible Timetables Using Group-Based Operators. IEEE Trans. Evol. Comput. 11(3): 397-413 (2007) - [c31]Juan Luis Jiménez Laredo, Pedro Ángel Castillo Valdivieso, Ben Paechter, Antonio Miguel Mora, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Juan Julián Merelo Guervós:
Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs. EvoWorkshops 2007: 129-136 - [c30]Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter:
Solving optimal pump control problem using max-min ant system. GECCO 2007: 176 - [c29]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter:
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. ICANNGA (1) 2007: 85-92 - [c28]Chris McEwan, Emma Hart, Ben Paechter:
Revisiting the Central and Peripheral Immune System. ICARIS 2007: 240-251 - [c27]Despina Davoudani, Emma Hart, Ben Paechter:
An Immune-Inspired Approach to Speckled Computing. ICARIS 2007: 288-299 - [p1]Rhydian Lewis, Ben Paechter, Olivia Rossi-Doria:
Metaheuristics for University Course Timetabling. Evolutionary Scheduling 2007: 237-272 - 2006
- [j2]Nigel Gilbert, Matthijs den Besten, Ákos Bontovics, Bart G. W. Craenen, Federico Divina, Ágoston E. Eiben, Robert Griffioen, György Hévízi, András Lörincz, Ben Paechter, Stephan C. Schuster, Martijn C. Schut, Christian Tzolov, Paul Vogt, Lu Yang:
Emerging Artificial Societies Through Learning. J. Artif. Soc. Soc. Simul. 9(2) (2006) - [c26]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter:
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. Australian Conference on Artificial Intelligence 2006: 1127-1132 - [c25]Bart G. W. Craenen, Ben Paechter:
A Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems. PPSN 2006: 152-161 - 2005
- [c24]Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter:
Multi-objective optimisation of the pump scheduling problem using SPEA2. Congress on Evolutionary Computation 2005: 435-442 - [c23]Rhydian Lewis, Ben Paechter:
An empirical analysis of the grouping genetic algorithm: the timetabling case. Congress on Evolutionary Computation 2005: 2856-2863 - [c22]Rhydian Lewis, Ben Paechter:
Application of the Grouping Genetic Algorithm to University Course Timetabling. EvoCOP 2005: 144-153 - 2004
- [j1]F. de Toro Negro, Julio Ortega Lopera, Eduardo Ros, Sonia Mota, Ben Paechter, J. M. Martín:
PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation. Parallel Comput. 30(5-6): 721-739 (2004) - [c21]Samer Sa'adah, Peter Ross, Ben Paechter:
Improving Vehicle Routing Using a Customer Waiting Time Colony. EvoCOP 2004: 188-198 - 2003
- [c20]Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm:
Routing Using Evolutionary Agents and Proactive Transactions. EvoWorkshops 2003: 696-705 - [c19]Francisco de Toro, Julio Ortega Lopera, Ben Paechter:
Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System. IPDPS 2003: 143 - 2002
- [c18]Márk Jelasity, Mike Preuß, Maarten van Steen, Ben Paechter:
Maintaining Connectivity in a Scalable and Robust Distributed Environment. CCGRID 2002: 389-394 - [c17]Márk Jelasity, Mike Press, Ben Paechter:
A scalable and robust framework for distributed applications. IEEE Congress on Evolutionary Computation 2002: 1540-1545 - [c16]Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm:
Improving Street Based Routing Using Building Block Mutations. EvoWorkshops 2002: 334-342 - [c15]Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luís Paquete, Thomas Stützle:
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 2002: 329-354 - [c14]Maribel García Arenas, Pierre Collet, A. E. Eiben, Márk Jelasity, Juan Julián Merelo Guervós, Ben Paechter, Mike Preuß, Marc Schoenauer:
A Framework for Distributed Evolutionary Algorithms. PPSN 2002: 665-675 - [c13]Neil Urquhart, Peter Ross, Ben Paechter, Kenneth Chisholm:
Solving a Real World Routing Problem Using Multiple Evolutionary Agents. PPSN 2002: 871-882 - 2001
- [c12]Neil Urquhart, Ben Paechter, Kenneth Chisholm:
Street-Based Routing Using an Evolutionary Algorithm. EvoWorkshops 2001: 495-504 - 2000
- [c11]Ben Paechter, Thomas Bäck, Marc Schoenauer, Michèle Sebag, Ágoston E. Eiben, Juan Julián Merelo, Terence C. Fogarty:
A Distributed Resource Evolutionary Algorithm Machine (DREAM). CEC 2000: 951-958 - [c10]Neil Urquhart, Kenneth Chisholm, Ben Paechter:
Optimising an Evolutionary Algorithm for Scheduling. EvoWorkshops 2000: 307-318 - [c9]A. E. Eiben, B. Jansen, Zbigniew Michalewicz, Ben Paechter:
Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating. GECCO 2000: 128-134 - [e1]Stefano Cagnoni, Riccardo Poli, Yun Li, George D. Smith, David Corne, Martin J. Oates, Emma Hart, Pier Luca Lanzi, Egbert J. W. Boers, Ben Paechter, Terence C. Fogarty:
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000, Proceedings. Lecture Notes in Computer Science 1803, Springer 2000, ISBN 3-540-67353-9 [contents]
1990 – 1999
- 1999
- [c8]Henri Luchian, Ben Paechter, Vlad Radulescu, Silvia Luchian:
Two evolutionary approaches to cross-clustering problems. CEC 1999: 870-876 - 1998
- [c7]Ben Paechter, R. C. Rankin, Andrew Cumming, Terence C. Fogarty:
Timetabling the Classes of an Entire University with an Evolutionary Algorithm. PPSN 1998: 865-874 - 1997
- [c6]Ben Paechter, R. C. Rankin, Andrew Cumming:
Improving a Lecture Timetabling System for University-Wide Use. PATAT 1997: 156-168 - 1995
- [c5]Ben Paechter, Andrew Cumming, Henri Luchian:
The Use of Local Search Suggestion Lists for Improving the Solution of Timetable Problems with Evolutionary Algorithms. Evolutionary Computing, AISB Workshop 1995: 86-93 - [c4]Ben Paechter, Andrew Cumming, Michael G. Norman, Henri Luchian:
Extensions to a Memetic Timetabling System. PATAT 1995: 251-265 - 1994
- [c3]Ben Paechter:
Optimising a Presentation Timetable Using Evolutionary Algorithms. Evolutionary Computing, AISB Workshop 1994: 264-276 - [c2]Ben Paechter, Henri Luchian, Andrew Cumming, Mihai Petriuc:
Two Solutions to the General Timetable Problem Using Evolutionary Methods. International Conference on Evolutionary Computation 1994: 300-305 - [c1]Daniel Stamate, Henri Luchian, Ben Paechter:
A General Model for the Answer-Perturbation Techniques. SSDBM 1994: 90-96
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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