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A multi‐start threshold accepting algorithm for multiple objective continuous optimization problems
Author(s) -
Dhouib Souhail,
Kharrat Aïda,
Chabchoub Habib
Publication year - 2010
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.2873
Subject(s) - mathematical optimization , algorithm , computer science , taboo , pareto principle , margin (machine learning) , optimization algorithm , genetic algorithm , multi objective optimization , mathematics , machine learning , political science , law
A multi‐start threshold accepting algorithm with an adaptive memory (MS‐TA) is proposed to solve multiple objective continuous optimization problems. The aim of this paper is to find efficiently multiple Pareto‐optimal solutions. Comparisons are carried out with multiple objective taboo search algorithm and genetic algorithm. Experiments on literature problems show that the proposed algorithm is more effective. The presented multi‐start adaptive algorithm improves the best‐known results by a significant margin. Copyright © 2010 John Wiley & Sons, Ltd.