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CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
The design and analysis of a computational model of cooperative coevolution
The design and analysis of a computational model of cooperative coevolution
An Overview of Evolutionary Computation
ECML '93 Proceedings of the European Conference on Machine Learning
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th 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
Ideal Evaluation from Coevolution
Evolutionary Computation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
New methods for competitive coevolution
Evolutionary Computation
Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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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Implementing evaluation of individuals based on multi-fitness has received growing interest in evolution, especially in coevolution, in the past decade. Assigning multi-fitness to an individual was originally suggested in Multi-Objective Evolutionary Algorithms (MOEA). The primary purpose was to find solutions simultaneously optimizing all objectives for a given problem. Non-dominated sorting is an algorithm that has been widely used for multi-fitness measurement both on single-objective and multi-objective problems. In this work, we implement and compare three sorting strategies, greedy sorting, non-dominated sorting and even-distributed sorting, to measure multi-fitness in Cooperative Coevolutionary Genetic Algorithms (CCGA) on single-objective optimization problems, where even-distributed sorting is a new sorting algorithm we propose. We assign multi-fitness to individuals by using a new collaboration mechanism, called reference sharing collaboration. Our experimental results show that by using the novel evaluation model, the modified CCGA achieves better performance than standard CCGA even if the simplest sorting strategy is used. And the even-distributed sorting is able to perform more efficient multi-fitness measurement for cooperative coevolutionary algorithms on single-objective optimization problems.