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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書目名稱Evolutionary Algorithms影響因子(影響力)




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書目名稱Evolutionary Algorithms網(wǎng)絡公開度學科排名




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書目名稱Evolutionary Algorithms被引頻次學科排名




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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?