Titlebook: Genetic Algorithms + Data Structures = Evolution Programs; Zbigniew Michalewicz Book 19921st edition Springer-Verlag Berlin Heidelberg 199

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https://doi.org/10.1007/978-3-662-02830-8algorithm; algorithms; artificial intelligence; computer science; control; data structure; data structures

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Springer-Verlag Berlin Heidelberg 1992

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Genetic Algorithms + Data Structures = Evolution Programs978-3-662-02830-8Series ISSN 1431-0066

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GAs: How Do They Work?In this chapter we discuss the actions of a genetic algorithm for a simple parameter optimization problem. We start with a few general comments; a detailed example follows.

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GAs: Selected TopicsGA theory provides some explanation why, for a given problem formulation, we may obtain convergence to the sought optimal point. Unfortunately, practical applications do not always follow the theory, with the main reasons being:

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Fine Local TuningGenetic algorithms display inherent difficulties in performing local search for numerical applications. Holland suggested [89] that the genetic algorithm should be used as a preprocessor to perform the initial search, before turning the search process over to a system that can employ domain knowledge to guide the local search. As observed in [81]: