Learning genetic algorithm parameters using hidden Markov models

DOI10.1016/j.ejor.2005.04.045zbMath1142.68480OpenAlexW1976879937MaRDI QIDQ2433443

Gary J. Koehler, Jackie Rees

Publication date: 27 October 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.04.045

zbMATH Keywords

heuristicsMarkov processesartificial intelligencegenetic algorithmsevolutionary computationsevolutionary processadaptive agents

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Mining categorical sequences from data using a hybrid clustering method

Cites Work

• Modeling genetic algorithms with Markov chains.
• An Evolutionary Approach to Group Decision Making
• A $k$-Sample Model in Order Statistics
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