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
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Performance comparison of self-adaptive and adaptive differential evolution algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Large scale evolutionary optimization using cooperative coevolution
Information Sciences: an International Journal
Cooperative co-evolutionary differential evolution for function optimization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
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The aim of this paper is to analyze the ability of cooperative coevolution to improve the scalability of population based metaheuristics An extensive set of experiments on high dimensional optimization problems has been conducted in order to study the particularities and effectiveness of some elements involved in the design of cooperative coevolutionary algorithms: groupings of variables into components, choice of the context based on which the components are evaluated, length of evolution for each component Scalability improvements have been obtained in the case of both analyzed metaheuristics: differential evolution and harmony search.