Hybrid particle swarm optimization and differential evolution algorithm for bi-level programming problem and its application to pricing and lot-sizing decisions

This paper proposes a hierarchical hybrid particle swarm optimization (PSO) and differential evolution (DE) based algorithm (HHPSODE) to deal with bi-level programming problem (BLPP). To overcome the shortcomings of basic PSO and basic DE, this paper improves PSO and DE, respectively by using a velo...

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Veröffentlicht in:	Journal of intelligent manufacturing Jg. 26; H. 3; S. 471 - 483
Hauptverfasser:	Ma, Weimin, Wang, Miaomiao, Zhu, Xiaoxi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2015 Springer Nature B.V
Schlagworte:	Algorithms Analysis Business and Management Computer programming Control Genetic algorithms Heuristic Intelligent systems Machines Manufacturing Mechatronics Mutation Optimization Processes Production Robotics Studies Supply chain management Hierarchical Differential evolution Pricing and lot-sizing Bi-level programming problem Particle swarm optimization
ISSN:	0956-5515, 1572-8145
Online-Zugang:	Volltext
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