The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
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
On identifying global optima in cooperative coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
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
Comparison of sorting algorithms for multi-fitness measurement of cooperative coevolution
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Empirical analysis of cooperative coevolution using blind decomposition
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Natural vs. unnatural decomposition in cooperative coevolution
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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Epistasis has been a well-known hard problem in optimization solved by evolution, especially by cooperative coevolution. Standard cooperative coevolution usually gets worse performance than standard evolution for optimization problems with epistasis. In this work, we propose a much improved version of cooperative coevolutionary model by using reference sharing collaboration. Pareto dominance is used for measuring the performance of individuals in our algorithm. We evaluate and compare our method with standard evolution and cooperative coevolution on a suite of test problems with and without epistasis interaction. Our experimental results show that the proposed algorithm outperforms the compared methods in most of the cases, and especially, it is superior to the standard evolution to handle epistasis.