Tightness time for the linkage learning genetic algorithm

Ying-Ping Chen*, David E. Goldberg

*Corresponding author for this work

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)

摘要

This paper develops a model for tightness time, linkage learning time for a single building block, in the linkage learning genetic algorithm (LLGA). First, the existing models for both linkage learning mechanisms, linkage skew and linkage shift, are extended and investigated. Then, the tightness time model is derived and proposed based on the extended linkage learning mechanism models. Experimental results are also presented in this study to verify the extended models for linkage learning mechanisms and the proposed model for tightness time.

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