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Integrated Optimization by Multi‐Objective Particle Swarm Optimization
Author(s) -
Kawarabayashi Masaru,
Tsuchiya Junichi,
Yasuda Keiichiro
Publication year - 2010
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20496
Subject(s) - benchmark (surveying) , particle swarm optimization , multi swarm optimization , multi objective optimization , pareto principle , computer science , mathematical optimization , optimization problem , metaheuristic , engineering optimization , test functions for optimization , continuous optimization , mathematics , algorithm , geodesy , geography
Abstract In this letter, integrated optimization system, a new framework of practical optimization, is expanded to multi‐objective optimization problem. This system is used in order to reduce the number of accesses to a simulator. On the basis of simulation results using some typical benchmark problems, it is shown that the proposed integrated optimization system enables to obtain relatively good Pareto solutions with drastic reduction in the number of function calls for evaluating the performance index values of systems. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.