Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem

作者：

Highlights：

• A model of the unequal-area facility layout problem is described.

• A modified multi-objective particle swarm optimization algorithm is proposed.

• We apply the heuristic strategy to update layout.

• The gradient method is applied to execute local search.

• The objective space division method is used to find the Pbest and Gbest.

摘要

•A model of the unequal-area facility layout problem is described.•A modified multi-objective particle swarm optimization algorithm is proposed.•We apply the heuristic strategy to update layout.•The gradient method is applied to execute local search.•The objective space division method is used to find the Pbest and Gbest.

论文关键词：Multi-objective optimization,Facility layout problem,Particle swarm optimization,Preference,Group decision-making

论文评审过程：Received 26 August 2017, Revised 25 February 2018, Accepted 26 February 2018, Available online 27 February 2018, Version of Record 19 March 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.02.035