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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Vydané v:	Knowledge-based systems Ročník 53; s. 13 - 19
Hlavní autori:	Zhang, Tao, Hu, Tiesong, Guo, Xuning, Chen, Zhong, Zheng, Yue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2013
Predmet:	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
On-line prístup:	Získať plný text
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