Hybridization of genetic algorithm and fully informed particle swarm for solving the multi-mode resource-constrained project scheduling problem

In this article, the genetic algorithm (GA) and fully informed particle swarm (FIPS) are hybridized for solving the multi-mode resource-constrained project scheduling problem (MRCPSP) with minimization of project makespan as the objective subject to resource and precedence constraints. In the propos...

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Veröffentlicht in:	Engineering optimization Jg. 49; H. 3; S. 513 - 530
Hauptverfasser:	Sebt, M. H., Afshar, M. R., Alipouri, Y.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 04.03.2017 Taylor & Francis Ltd
Schlagworte:	Algorithms combinatorial optimization Decoding Genetic algorithms Genetics hybrid GA-FIPS algorithm multi-mode project scheduling Optimization Production scheduling Project management random key representation resource constraints Resource scheduling Scheduling algorithms Serials Swarm intelligence
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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