A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – A case study on supply chain model

The main goal of supply chain management is to coordinate and collaborate the supply chain partners seamlessly. On the other hand, bi-level linear programming is a technique for modeling decentralized decision. It consists of the upper level and lower level objectives. Thus, this paper intends to ap...

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Veröffentlicht in:	Applied mathematical modelling Jg. 35; H. 8; S. 3905 - 3917
Hauptverfasser:	Kuo, R.J., Han, Y.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Inc 01.08.2011 Elsevier
Schlagworte:	Applied sciences Bi-level linear programming Exact sciences and technology Genetic algorithm Genetic algorithms Linear programming Logistics Management Mathematical models Operational research and scientific management Operational research. Management science Optimization Particle swarm optimization Supply chain management Supply chains Supply chain management Bi-level linear programming Genetic algorithm Particle swarm optimization Evolutionary algorithm Bilevel programming Swarm intelligence Modeling Logistics
ISSN:	0307-904X
Online-Zugang:	Volltext
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