Do multiple-objective metaheuristics deliver on their promises? A computational experiment on the set-covering problem

In this paper, we compare the computational efficiency of three state-of-the-art multiobjective metaheuristics (MOMHs) and their single-objective counterparts on the multiple-objective set-covering problem (MOSCP). We use a methodology that allows consistent evaluation of the quality of approximatel...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 7; no. 2; pp. 133 - 143
Main Author:	Jaszkiewicz, A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2003 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computation Computational efficiency Computational modeling Evolutionary algorithms Evolutionary computation Experiments Genetic algorithms Mathematical analysis Mathematical models Pareto optimality Simulated annealing Sorting State of the art Studies Vectors (mathematics) Warranties
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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