A case study on using evolutionary algorithms to optimize bakery production planning

作者：

Highlights：

• A bakery production line with 26 stages and 40 products was modeled using MATLAB.

• Production planning of this line was optimized using PSO and ACO separately.

• The makespan and the total idle time of machines were used as cost functions.

• Significant decreases of cost functions were reached within an optimization runtime limited to 15 min.

摘要

•A bakery production line with 26 stages and 40 products was modeled using MATLAB.•Production planning of this line was optimized using PSO and ACO separately.•The makespan and the total idle time of machines were used as cost functions.•Significant decreases of cost functions were reached within an optimization runtime limited to 15 min.

论文关键词：Bakery production planning,Evolutionary algorithms,Particle Swarm Optimization,Ant Colony Optimization,Flow-shop scheduling

论文评审过程：Available online 27 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.038