Collaborative Optimization of Production and Energy Consumption in Flexible Workshop

Authors

Ding Yu, Engineering Research Center of Internet of Things Technology Applications Ministry of Education,Wuxi 214122,China;
Wang Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education,Wuxi 214122,China;
Zhicheng Ji, Engineering Research Center of Internet of Things Technology Applications Ministry of Education,Wuxi 214122,China;

Abstract

Abstract: Considering the problem of the multi-objective constrained flexible job-shop,the NSGA-Ⅱalgorithm based on hybrid mutation operator is proposed.In view of NSGA-II algorithm being prone to premature convergence,poisson average and gaussian operators are introduced to improve the global and local optimization ability of the algorithm.The optimal scheme is selected from the set of pareto solutions by adopting the strategy of FAHP-IEVM,which is the combination of subjective and objective evaluation method. The modified algorithm is tested and compared by a series of ZDT test functions.The results show that the convergence and diversity of the revised algorithm are improved obviously.The effectiveness of the algorithm's optimization ability,the efficiency of the running time and the rationality of the decision algorithm FAHP-IEVM are verified by an example simulation.

Recommended Citation

Yu, Ding; Yan, Wang; and Ji, Zhicheng (2020) "Collaborative Optimization of Production and Energy Consumption in Flexible Workshop," Journal of System Simulation: Vol. 32: Iss. 12, Article 15.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0456
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss12/15

First Page

2426

Revised Date

2020-07-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0456

Last Page

2437

CLC

TP391.9

Recommended Citation

Ding Yu, Wang Yan, Ji Zhicheng. Collaborative Optimization of Production and Energy Consumption in Flexible Workshop[J]. Journal of System Simulation, 2020, 32(12): 2426-2437.

DOI

10.16182/j.issn1004731x.joss.20-FZ0456