The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Evolutionary Computing in Multi-agent Environments: Operators
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An analysis of cooperative coevolutionary algorithms
An analysis of cooperative coevolutionary algorithms
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
The dynamics of the best individuals in co-evolution
Natural Computing: an international journal
Analyzing cooperative coevolution with evolutionary game theory
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Nonlinear System Identification Using Coevolution of Models and Tests
IEEE Transactions on Evolutionary Computation
Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A cooperative coevolutionary algorithm with correlation based adaptive variable partitioning
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A multi-agent organizational framework for coevolutionary optimization
Transactions on Petri nets and other models of concurrency IV
A survey on optimization metaheuristics
Information Sciences: an International Journal
Hi-index | 0.00 |
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisions. It would be useful to have some knowledge of the performance effects of these decisions, in order to make the more beneficial ones. In this paper we study the effects on performance of the frequency of interaction between populations. We show them to be problem-dependent and use dynamics analysis to explain this dependency.