- On the Dynamics of Communication and Cooperation in Artificial Societies
- Evolutionary Algorithms and Constraint Satisfaction: Definitions, Survey, Methodology, and Research Directions
- What is Situated Evolution? M.C. Schut E. Haasdijk A.E. Eiben
- Is Self-Adaptation of Selection Pressure and Population Size Possible? a Case Study
- Comparative Reproduction Schemes for Evolving Gathering Collectives
- Cooperation and Communication in Evolving Artificial Societies
- A Critical Note on Experimental Research Methodology in EC
- Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
- Comparing Parameter Tuning Methods for Evolutionary S.K. Smit A.E. Eiben
- Learning benefits evolution if sex gives pleasure A.R. Griffioen, S.K. Smit and A.E. Eiben
- P2P Evolutionary Algorithms: A Suitable Approach for Tackling Large Instances in Hard
- On the run-time dynamics of a Peer-to-Peer Evolutionary Algorithm
- Costs and Benefits of Tuning Parameters of Evolutionary Algorithms
- Emergent Specialization in Biologically Inspired Collective Behavior Systems
- Population-based Adaptive Systems: concepts, issues, and the platform NEW TIES
- Collective Specialization for Evolutionary Design of a Multi-Robot System
- Autonomous Selection in Evolutionary Algorithms A. E. Eiben1
- Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
- Emergent Specialization in the Extended Multi-Rover Problem G.S. Nitschke, M.C. Schut, A.E. Eiben
- Peer-to-peer evolutionary algorithms with adaptive autonomous selection
- Boosting Genetic Algorithms with Self-Adaptive Selection
- A Method for Parameter Calibration and Relevance Estimation in Evolutionary Algorithms
- Hybrid Evolutionary Algorithms for Constraint Satisfaction Problems: Memetic Overkill?
- Comparing Multicast and Newscast Communication in Evolving Agent Societies
- Evolutionary Algorithms with on-the-fly Population Size Adjustment
- Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment
- Evolutionary computing: the most powerful problem solver in the universe?
- Using Entropy for Parameter Analysis of Evolutionary Algorithms
- Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms
- Evolutionary Computing and Autonomic Computing: Shared Problems, Shared Solutions?
- PARAMETER CALIBRATION USING META-ALGORITHMS W.A. de Landgraaf, A.E. Eiben, V. Nannen
- RESEARCH PAPER Collective neuro-evolution for evolving specialized sensor
- Efficient Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
- Comparing Communication Protocols under Cooperative Pressure
- Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems
- Information Processing Letters 82 (2002) 16 www.elsevier.com/locate/ipl
- Reinforcement Learning for Online Control of Evolutionary Algorithms
- Parameter Control in Evolutionary Algorithms A.E. Eiben1
- Social Learning in Population-based Adaptive Systems E. Haasdijk, P. Vogt and A.E. Eiben
- ORIGINAL PAPER EvAg: a scalable peer-to-peer evolutionary algorithm
- Effects of Evolutionary and Lifetime Learning on Minds and Bodies in an Artifical Society
- AN MOEA-BASED METHOD TO TUNE EA PARAMETERS ON MULTIPLE OBJECTIVE FUNCTIONS
- SAW-ing EAs: adapting the tness function for solving constrained problems
- HyperNEAT for Locomotion Control in Modular Robots Evert Haasdijk, Andrei A. Rusu, and A.E. Eiben
- New Ways to Calibrate Evolutionary A.E. Eiben, M.C. Schut
- Fundamenta Informaticae 35 (1998) 1--16 1 On evolutionary exploration and exploitation
- Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive
- Multi-Parent's Niche: n-ary Crossovers on NK-Landscapes
- Evolving Agent Societies with VUScape P.C. Buzing and A.E. Eiben and M.C. Schut
- An Empirical Investigation of MultiParent Recombination Operators in Evolution
- 5.2 Embodied, On-line, On-board Evolution for Autonomous Robotics 367 5.2 Embodied, On-line, On-board Evolution for Autonomous
- Beating the `world champion' Evolutionary Algorithm via REVAC Tuning
- Genetic algorithms with multi-parent recombination A.E. Eiben, P-E. Rau6, Zs. Ruttkay
- Evolutionary reproduction of Dutch masters: the Mondriaan and Escher evolvers
- Comparing aesthetic measures for evolutionary art
- Parameter Control Methods for Selection Operators in Genetic Algorithms
- Adapting the Fitness Function in GP for Data Mining
- Tax and Evolution in SugarScape Thomas Back and Daniel Vermeulen
- C3.7 Multi-parent Recombination Leiden University
- On adaptive self-organization in artificial robot organisms Serge Kernbach, Heiko Hamann, Jurgen Stradner, Ronald Thenius, Thomas Schmickl, Karl Crailsheim,
