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Abstract: this paper is to summarize and organize the information on these current approaches, emphasizing the importance of analyzing the Operations Research techniques in which most of them are based, in an attempt to motivate researchers to look into these mathematical programming approaches for new ways of exploiting the search capabilities of evolutionary algorithms. Furthermore, a summary of the main algorithms behind these approaches is provided, together with a brief criticism that includes their ... (Update)
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BibTeX entry: (Update)
C.A. Coello. An updated survey of GA-based multiobjective optimization techniques. Technical report, Laboratorio Nacional de Informatica Avanzada (LANIA), Xalapa, Veracruz, Mexico, 1998. Technical Report Lania-RD-98-08. http://citeseer.ist.psu.edu/coello98updated.html More
@article{ coello00updated,
author = "Carlos A. Coello",
title = "An updated survey of {GA-based} multiobjective optimization techniques",
journal = "ACM Computing Surveys",
volume = "32",
number = "2",
pages = "109--143",
year = "2000",
url = "citeseer.ist.psu.edu/coello98updated.html" }
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