Titlebook: Recent Advances in Memetic Algorithms; William E. Hart,J. E. Smith,N. Krasnogor Book 2005 Springer-Verlag Berlin Heidelberg 2005 algorithm

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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/r/image/822885.jpg

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Recent Advances in Memetic Algorithms978-3-540-32363-1Series ISSN 1434-9922 Series E-ISSN 1860-0808

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An Evolutionary Approach for the Maximum Diversity Problemflip local search, we compare with a MA with 2-flip local search for large-scale problem instances (of up to .=2500) which are larger than those investigated by other researchers. The results show that the .-flip local search based MA is effective particularly for larger instances. We report the bes

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The Co-Evolution of Memetic Algorithms for Protein Structure Predictiondiscovery and propagation of knowledge about the instance being optimised..The algorithm is benchmarked against a simple Genetic Algorithm, a Memetic Algorithm using a fixed neighbourhood function, and a similar Memetic Algorithm which uses random (rather than evolved) rules and shows significant im

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