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Titlebook: Evolutionary Algorithms; The Role of Mutation William M. Spears Book 2000 Springer-Verlag Berlin Heidelberg 2000 Graph.Master Patient Index

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书目名称Evolutionary Algorithms
副标题The Role of Mutation
编辑William M. Spears
视频video
概述A thorough analysis of recombination and mutation in evolutionary algorithms.New theoretical and modeling tools for studying evolutionary algorithms.A new empirical tool for comparing search and optim
丛书名称Natural Computing Series
图书封面Titlebook: Evolutionary Algorithms; The Role of Mutation William M. Spears Book 2000 Springer-Verlag Berlin Heidelberg 2000 Graph.Master Patient Index
描述Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms. An aggregation algorithm for Markov chains is introduced which is useful for studying not only evolutionary algorithms specifically, but also complex systems in general. Practical consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. A focus on discrete rather than real-valued representations allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.
出版日期Book 2000
关键词Graph; Master Patient Index; Racter; algorithms; evolution; evolutionary algorithm; mutation; optimization;
版次1
doihttps://doi.org/10.1007/978-3-662-04199-4
isbn_softcover978-3-642-08624-3
isbn_ebook978-3-662-04199-4Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightSpringer-Verlag Berlin Heidelberg 2000
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Introductionthms (EAs). EAs share a common conceptual base of simulating the evolution of individual structures via processes of selection and perturbation. These processes depend on the perceived performance (fitness) of the individual structures as defined by an environment.
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Survival and Construction Schema Theory for Recombinationsruption in Chap. 3 to those for construction in Chap. 4 — namely, that the graphs are qualitatively related in the sense that if one recombination operator is more disruptive, it is also more constructive. The results are intuitively plausible and hold for every set of graphs we have been able to generate.
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Other Static Characterizations of Mutation and Recombinationve been explored in the literature (such as “exploratory power,” “positional bias,” and “distributional bias”). The point of this chapter is to extend these characterizations of recombination to mutation, in order to compare the two operators.
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https://doi.org/10.1007/978-3-322-96332-1l selection (Holland 1975), due to its mathematical simplicity; however, it would not be difficult to extend the work to other selection mechanisms. This chapter investigates selection and mutation. The next chapter (Chap. 12) investigates selection, mutation, and recombination.
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Klaus-Peter Wiedmann,Gianfranco Walshs with recombination. Naturally, it is important to empirically validate these results with . EAs, in order to see if the results scale to larger, more realistic problems. How should this empirical validation be performed?
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