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

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：High dimensional bilevel multiobjective programming,Particle swarm optimization,Pareto optimal solution,Crossover operator,Elite strategy

论文评审过程：Received 25 June 2012, Revised 15 July 2013, Accepted 23 July 2013, Available online 31 July 2013.

论文官网地址：https://doi.org/10.1016/j.knosys.2013.07.015