Particle swarm optimization for uncapacitated multiple allocation hub location problem under congestion
作者：
Highlights：
• A new congestion function is defined as a surplus flow on hub per total flow ratio.
• Particle Swarm Optimization helps dealing with the nonlinearity of the model.
• The model selects more hub and tolerates higher cost to obtain homogeneous network.
• Suggested solution procedure is very efficient and yield promising outcomes.
• Considering time, capacity or cost factors of congestion isa visionary approach.
摘要
•A new congestion function is defined as a surplus flow on hub per total flow ratio.•Particle Swarm Optimization helps dealing with the nonlinearity of the model.•The model selects more hub and tolerates higher cost to obtain homogeneous network.•Suggested solution procedure is very efficient and yield promising outcomes.•Considering time, capacity or cost factors of congestion isa visionary approach.
论文关键词：Network design,Hub location problem,Congestion,Particle swarm optimization
论文评审过程：Received 11 June 2018, Revised 1 September 2018, Accepted 10 October 2018, Available online 11 October 2018, Version of Record 27 October 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.019
