A Comparative Study of Multiple-Objective Metaheuristics on the Bi-Objective Set Covering Problem and the Pareto Memetic Algorithm

The paper describes a comparative study of multiple-objective metaheuristics on the bi-objective set covering problem. Ten representative methods based on genetic algorithms, multiple start local search, hybrid genetic algorithms and simulated annealing are evaluated in the computational experiment....

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Vydané v:	Annals of operations research Ročník 131; číslo 1-4; s. 135 - 158
Hlavný autor:	Jaszkiewicz, Andrzej
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer Nature B.V 01.10.2004
Predmet:	Algorithms Experiments Genetic algorithms Heuristic Operations research Optimization Pareto optimum Studies
ISSN:	0254-5330, 1572-9338
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