January 20, 2003

An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends

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Resumen

This paper reviews some of the most popular evolutionary multiobjective optimization techniques currently reported in the literature, indicating some of their main applications, their advantages, disadvantages, and degree of applicability. Finally, some of the most promising areas of future research are briefly discussed.

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Carlos A. Coello Coello (Mon,) studied this question.

synapsesocial.com/papers/6a1c3f436f692abb725f2ff1 https://doi.org/https://doi.org/10.1109/cec.1999.781901

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Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

1Multiple Objective Optimization with Vector Evaluated Genetic Algorithms1985 · 2,621 citations
2An empirical study of evolutionary techniques for multiobjective optimization in engineering design1996 · 177 citations
3GA Multiple Objective Optimization Strategies for ElectromagneticBackscattering1997 · 6 citations
4Multiobjective VAr planning using the goal-attainment method1994 · 70 citations

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