Titlebook: Natural Computing Algorithms; Anthony Brabazon,Michael O‘Neill,Seán McGarraghy Textbook 2015 Springer-Verlag Berlin Heidelberg 2015 Artifi

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Natural Computing Serieshttp://image.papertrans.cn/n/image/661693.jpg

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978-3-662-50116-0Springer-Verlag Berlin Heidelberg 2015

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Introduction,y: see Fig. 1.1. The first strand concerns the use of natural materials and phenomena for computational purposes such as DNA and molecular computing (computing in vivo); the second strand concerns the application of computer simulations to replicate natural phenomena in order to better understand th

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Evolution Strategies and Evolutionary Programming31, 560, 561] in the 1960s and attracted a large following amongst researchers and practitioners, particularly in Europe. ES has been extensively used as a tool for solving real-valued optimisation problems and has also been successfully applied for combinatorial optimisation, for constrained optimi

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Differential EvolutionGA as it embeds implicit concepts of mutation, recombination and fitness-based selection. Like the GA, DE iteratively generates good solutions to a problem of interest by manipulating a population of solution encodings. DE also bears comparison with evolutionary strategies (Chap. 5), as its mutation

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