エリート牽引型進化法による多目的解析 PSA法を例として

高山 将来; 大石 章裕; 清水 良明

doi:10.11511/jacc.54.0.287.0

THE 54TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE

Session ID : 2E101

DOI https://doi.org/10.11511/jacc.54.0.287.0

Conference information

Host: The Society of Instrument and Control Engineers, The Japan Society of Mechanical Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences

Co-host: Toyohashi University of Technology, Technically Cosponsored by 51 Societies and Institutes

Theory and Appication on Decision Making and Optimization (2: Advances of Soft Comuting)

Multi-objective Analysis through Elite-induced Evolutionary Algorithm

In the case of PSA

Masaki Takayama, *Akihiro Ohishi, Yoshiaki Shimizu

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Keywords: Multi-objective analysis, Elite induction, Weighting method, Epsilon-constraint method, PSA

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Under today's complicated and unstable society, it is becoming of special importance to make a rational decision from comprehensive point of view. Accordingly, many interests have been paid recently on the studies on multi-objective optimization. In this paper, we have first proposed a new method for multi-objective analysis termed elite-induced MOEA that combines complementally conventional method and recent multi-objective evolutionary algorithm (MOEA). Through this simple combination, the proposed method can derive precise Pareto front and manipulate its distribution well. These prospects are verified in numerical experiments.

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