NDLI: A coevolutionary multi-objective evolutionary algorithm

Content Provider	IEEE Xplore Digital Library
Author	Coello Coello, C.A. Sierra, M.R.
Copyright Year	2003
Description	Author affiliation: Departamento de Ingenieria Electrica, CINVESTAV, Mexico, Mexico (Coello Coello, C.A.; Sierra, M.R.)
Abstract	In this paper, we propose a first version of a multi-objective evolutionary algorithm that incorporates some coevolutionary concepts. The primary design goal of the proposed approach is to reduce the total number of objective function evaluations required to produce a reasonable good approximation of the true Pareto front of a problem. The main idea of the proposed approach is to concentrate the search effort on promising regions that arise during the evolutionary process as a byproduct of a mechanism that subdivides decision variable space based on an estimate of the relative importance of each decision variable. The proposed approach is validated using several test functions taken from the specialized literature and it is compared with respect to three approaches that are representative of the state-of-the-art in evolutionary multiobjective optimization.
Sponsorship	Air Force Iffice of Sci. Res. Asian Office of Aerospace Res and Development Army Res. Office - Far East CISCO Evoluationary Programming Soc. IEE Inst. of Engineers, Australia IEEE Neural Networks Soc. Univ. of New South Wales
Starting Page	482
Ending Page	489
File Size	519613
Page Count	8
File Format	PDF
ISBN	0780378040
DOI	10.1109/CEC.2003.1299614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-08
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Evolutionary computation Design optimization Algorithm design and analysis Genetics Testing Game theory
Content Type	Text
Resource Type	Article

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