Multi-objective CSPS System Considering Energy Consumption

被引:0
|
作者
Tan, Qi [1 ]
Xia, Tianlin [1 ]
Tang, Hao [1 ]
Cheng, Mingang [2 ]
机构
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Peoples R China
[2] Jiangsu Yuanwang Shenzhou Software Ltd Corp, Wuxi, Jiangsu, Peoples R China
来源
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词
variable service rate; semi-Markor decision process; multi-objective optimization algorithms; two-population co-evolution; divergence strategy; RESOURCE-ALLOCATION; SELECTION;
D O I
10.1109/CAC51589.2020.9327032
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:4265 / 4270
页数:6
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