A case study on using evolutionary algorithms to optimize bakery production planning
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 15min.
evolutionary algorithms bakery production planning particle swarm optimization ant colony optimization flow-shop scheduling