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....

Full description

Bibliographic Details

Published in:	Annals of operations research Vol. 131; no. 1-4; pp. 135 - 158
Main Author:	Jaszkiewicz, Andrzej
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.10.2004
Subjects:	Algorithms Experiments Genetic algorithms Heuristic Operations research Optimization Pareto optimum Studies
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!