Solving high dimensional bilevel multiobjective programming problem using a hybrid particle swarm optimization algorithm with crossover operator

•A crossover operator can enhance the information exchange between particles.•The algorithm directly simulates the decision process of bilevel programming.•The proposed algorithm is a feasible and efficient algorithm for solving HDBLMPPs. In this paper, a hybrid particle swarm optimization with cros...

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Veröffentlicht in:	Knowledge-based systems Jg. 53; S. 13 - 19
Hauptverfasser:	Zhang, Tao, Hu, Tiesong, Guo, Xuning, Chen, Zhong, Zheng, Yue
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2013
Schlagworte:	Algorithms Convergence Crossover operator Crossovers Elite strategy High dimensional bilevel multiobjective programming Knowledge base Mathematical programming Multiple objective Operators Pareto optimal solution Particle swarm optimization Swarm intelligence Pareto optimal solution High dimensional bilevel multiobjective programming Elite strategy Particle swarm optimization Crossover operator
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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