Properties of the Bucket Brigade
Proceedings of the 1st International Conference on Genetic Algorithms
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
An analysis of cooperative coevolutionary algorithms
An analysis of cooperative coevolutionary algorithms
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Archive-based cooperative coevolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The effects of interaction frequency on the optimization performance of cooperative coevolution
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Selecting informative actions improves cooperative multiagent learning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A cooperative coevolutionary algorithm with correlation based adaptive variable partitioning
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The cooperative royal road: avoiding hitchhiking
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
IEEE Transactions on Evolutionary Computation
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Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disappointing. One of the reasons for this is that attempts to improve co-evolutionary performance using traditional EC analysis techniques often fail to provide the necessary insights into the dynamics of co-evolutionary systems, a key factor affecting performance. In this paper we use two simple fitness landscapes to illustrate the importance of taking a dynamical systems approach to analyzing co-evolutionary algorithms in order to understand them better and to improve their problem solving performance.