Multi-objective CSPS System Considering Energy Consumption

Resource consumption in the production line has become an important consideration. The energy consumption and processing time of the jobs meet the resource consumption function in the production line with variable service rate. This paper applies NSGAII to the conveyor-serviced production station (CSPS) considering energy consumption, and establishes a detailed semi-Markov decision process (SMDP) that optimizes the maximum processing rate and the minimum energy consumption at the same time. This paper proposes a two-population co-evolution algorithm(TPCA), which is applied to the NSGAII algorithm. On this basis, this paper also proposes a divergence strategy(DS) to improve the exploration ability of multi-objective optimization algorithm. The experimental results reveal that the proposed algorithms are more adequate for pareto front exploration and find more solutions for decision makers.