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PubMed · 16156925

Convergence time for the linkage learning genetic algorithm.

Ying-ping Chen·David E Goldberg
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Abstract

This paper identifies the sequential behavior of the linkage learning genetic algorithm, introduces the tightness time model for a single building block, and develops the connection between the sequential behavior and the tightness time model. By integrating the first-building-block model based on the sequential behavior, the tightness time model, and the connection between these two models, a convergence time model is constructed and empirically verified. The proposed convergence time model explains the exponentially growing time required by the linkage learning genetic algorithm when solving uniformly scaled problems.

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AlgorithmsBiological EvolutionGeneticsLearningJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

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Ying-ping Chen, David E Goldberg. 2005. Convergence time for the linkage learning genetic algorithm.. https://doi.org/10.1162/1063656054794806

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