Multi-Objective Optimization Base on Incremental Pareto Fitness

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Abstract:

A new multi-objective optimization algorithm based on incrementally Pareto fitness is proposed in this paper. To overcome the directly calculate the Pareto fitness matrix expensively, we adopt to make full use of information of last iteration at each stept to update the Parteto fitness matrix gradually. Experiments proved the highest efficiency of the new method.

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Periodical:

Advanced Materials Research (Volumes 1030-1032)

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1733-1736

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xin Wei, Yizhong Wu, Liping Chen: Global optimization method based on incremental radial basis functions,Applied Mechanics and Materials121-126 (2012), pp.3950-3954.

DOI: 10.4028/www.scientific.net/amm.121-126.3950

Google Scholar

[2] Schaumann, EJ, Balling RJ, Day K. Genetic algorithms with multiple objectives. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, MO, AIAA, 3 (1998), p.2114–2123.

DOI: 10.2514/6.1998-4974

Google Scholar

[3] Osyczka A. Multicriteria optimization for engineering design. In: Gero, J.S. (ed. ) Design optimization, 193–227. Orlando: Academic Press (1985).

DOI: 10.1016/b978-0-12-280910-1.50012-x

Google Scholar