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Abstract: The application of evolutionary algorithms (EAs) in multiobjective optimization is currently receiving growing interest from researchers with various backgrounds. Most research in this area has understandably concentrated on the selection stage of EAs, due to the need to integrate vectorial performance measures with the inherently scalar way in which EAs reward individual performance, i.e., number of offspring. In this review, current multiobjective evolutionary approaches are discussed,... (Update)
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BibTeX entry: (Update)
C. M. Fonseca and P. J. Fleming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1):1--16, 1995. http://citeseer.ist.psu.edu/article/fonseca95overview.html More
@article{ fonseca95overview,
author = "Carlos M. Fonseca and Peter J. Fleming",
title = "An Overview of Evolutionary Algorithms in Multiobjective Optimization",
journal = "Evolutionary Computation",
volume = "3",
number = "1",
pages = "1-16",
year = "1995",
url = "citeseer.ist.psu.edu/article/fonseca95overview.html" }
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