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Titlebook: Swarm, Evolutionary, and Memetic Computing; Second International Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Conference proceedings 2011ewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.
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Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimizatioe enhanced the classical DE to perform better in dynamic environments by a powerful clustering technique. During evolution, the information gained by the particles of different clusters is exchanged by a self adaptive strategy. The information exchange is done by re-clustering, and the cluster numbe
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Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement,dge enhancement whose optimal sequence is to be found by differential evolution. Its unbiased stochastic sampling and bench-mark results in a quite many number of applications ignited us to use for the aforesaid purpose and motivated for further research. The major five mutational variants of differ
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