Tomohiro Yoshikawa
Graduate School of Engineering, Nagoya University, Nagoya, Japan
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http://dx.doi.org/10.3384/ecp171421067Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:157, p. 1067-1073
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Recently, a lot of studies on Multi-Objective Genetic Algorithm (MOGA), in which Genetic Algorithm is applied to Multi-objective Optimization Problems (MOPs), have been reported actively. MOGA has been also applied to engineering design ?elds, then it is important not only to obtain Pareto solutions having high performance but also to analyze the obtained Pareto solutions and extract the knowledge in the designing problem. The another has studied the analysis methods of acquired Pareto solutions by MOGA. The aim of these methods is, however, to analyze solutions, and the feedback of the analysis results into the search is little focused. This paper proposes a search method that uses reference lines for a user’s preference direction which is de?ned by the user’s attention based on visualization results of a pre-search.
optimization problems, multi objective genetic algorithm, user’s preference direction, reference line, visualization
