A Job-shop Batch Scheduling Method Based on Game Theory
As the scheduling objective of taking the maximal profit of each task consisting of work pieces submitted bycustomers,a non-cooperation game model for batch scheduling is presented.In order to effectively find the Nash equilibrium point of the model,a strategy about multiple transport and gapless equivalent batch splitting is adopted.A hybrid adaptive genetic algorithm based on hill-climbing method is designed.A numerical case study is carried out to demonstrate the validity of scheduling methods.
Batch scheduling Game theory Batch scheduling strategy Hybrid adaptive GA
Rui Wang Guanghui Zhou
School of Science Xian University of Architecture and Technology Xian 710055, China The State Key Laboratory for Manufacturing Systems Engineering Xian Jiaotong University Xian 71004
国际会议
2013 International Symposium on Assembly and Manufacturing(2013装配与制造国际专题会议)
西安
英文
183-186
2013-07-01(万方平台首次上网日期,不代表论文的发表时间)