A modified particle swarm optimization for aggregate production planning

作者：

Highlights：

• An APP model for the manufacturer of gardening equipment is proposed.

• A modified PSO introducing the concept of sub-particles to the update rules is proposed.

• Some experiments implemented by MATLAB and LINGO are evaluated among MPSO, SPSO and GA.

• The MPSO gains particular qualities in accuracy, reliability, and convergence speed than others.

摘要

•An APP model for the manufacturer of gardening equipment is proposed.•A modified PSO introducing the concept of sub-particles to the update rules is proposed.•Some experiments implemented by MATLAB and LINGO are evaluated among MPSO, SPSO and GA.•The MPSO gains particular qualities in accuracy, reliability, and convergence speed than others.

论文关键词：Particle swarm optimization (PSO),Aggregate production planning (APP),Integer linear programming model

论文评审过程：Available online 22 October 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.038