Robust optimization using multi-objective particle swarm optimization |
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| Authors: | Satoshi Ono Yohei Yoshitake Shigeru Nakayama |
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| Affiliation: | (1) Department of Production Engineering and Management, Technical University of Crete, University Campus, 73100 Chania, Crete, Greece;(2) Institute of Applied Mechanics, Carolo Wilhelmina Technical University, Braunschweig, Germany |
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| Abstract: | This article proposes an algorithm to search for solutions which are robust against small perturbations in design variables.
The proposed algorithm formulates robust optimization as a bi-objective optimization problem, and fi nds solutions by multi-objective
particle swarm optimization (MOPSO). Experimental results have shown that MOPSO has a better performance at fi nding multiple
robust solutions than a previous method using a multi-objective genetic algorithm. |
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