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Abstract: . This paper presents a critical review of the most important evolutionary-based multiobjective optimization techniques developed over the years, emphasizing the importance of analyzing their Operations Research roots as a way to motivate the development of new approaches that exploit the search capabilities of evolutionary algorithms. Each technique is briefly described mentioning its advantages and disadvantages, their degree of applicability and some of their known applications. Finally, the ... (Update)
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BibTeX entry: (Update)
Coello, C. A. C. (1998). A comprehensive survey of evolutionary based multiobjective optimization techniques. Unpublished document. http://citeseer.ist.psu.edu/coello98comprehensive.html More
@article{ coello99comprehensive,
author = "Carlos A. Coello Coello",
title = "A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques",
journal = "Knowledge and Information Systems",
volume = "1",
number = "3",
pages = "129-156",
year = "1999",
url = "citeseer.ist.psu.edu/coello98comprehensive.html" }
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The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.lania.mx/~ccoello/moo.html): More
Evolutionary Multiobjective Design of Combinational Logic.. - Coello, Aguirre, Buckles (2000) (Correct)
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A Micro-Genetic Algorithm for Multiobjective Optimization - Coello, Pulido (Correct)
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