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13.240 Articles in journals published by the UPC
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  • 1994, Vol. I, Núm. 3
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The use of fuzzy connectives to design real-coded genetic algorithms

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Herrera Triguero, Francisco
Lozano, M.
Verdegay, José Luis
Document typeArticle
Defense date1994
PublisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Genetic algorithms are adaptive methods that use principles inspired by natural population genetics to evolve solutions to search and optimization problems. Genetic algorithms process a population of search space solutions with three operations: selection, crossover and mutation. A great problem in the use of genetic algorithms is premature convergence; the search becomes trapped in a local optimum before the global optimum is found. Fuzzy logic techniques may be used for solving this problem. This paper presents one of them: the design of crossover operators for real-coded genetic algorithms using fuzzy connectives and its extension based on the use of parameterized fuzzy connectives as tools for tackling the premature convergence problem.
URIhttp://hdl.handle.net/2099/2453
ISSN1134-5632
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  • Mathware & soft computing - 1994, Vol. I, Núm. 3 [13]
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