Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Particle swarm optimization for multimodal functions: a clustering approach
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
An immunological algorithm for global numerical optimization
EA'05 Proceedings of the 7th international conference on Artificial Evolution
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In this paper an algorithm is proposed, which combines elements of immune network and clonal selection together with gradual narrowing of a search area. It is used for optimization of multimodal functions and enables finding many optima in given domains. The algorithm introduces a novel way of interaction between memory cells and population cells. The influence of cell interaction strength on the algorithm performance has been investigated. Experiments prove that the algorithm is capable of fast localization of many optima. It outperforms other presented approaches to the multi-modal function optimization problem.