Titlebook: Exploitation of Linkage Learning in Evolutionary Algorithms; Ying-ping Chen Book 2010 Springer-Verlag Berlin Heidelberg 2010 Bayesian netw

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Estimating Optimal Stopping Rules in the Multiple Best Choice Problem with Minimal Summarized Rank vg the multiple best choice problem with the minimal expected ranks of selected objects. We also compare computation results by Cross-Entropy method with results by the genetic algorithm. Computational results showed that the Cross-Entropy method is producing high-quality solution.

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978-3-642-26327-9Springer-Verlag Berlin Heidelberg 2010

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Exploitation of Linkage Learning in Evolutionary Algorithms978-3-642-12834-9Series ISSN 1867-4534 Series E-ISSN 1867-4542

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Exploitation of Linkage Learning in Evolutionary Algorithms

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Linkage Structure and Genetic Evolutionary Algorithmsetworks is not only influenced by evolution and therefore exhibit non-random properties, but also influences its own evolution in the sense that certain structures are easier for evolutionary forces to adapt for survival. However, this necessarily implies the difficulty of certain other structures.