A Hybrid Genetic Algorithm Based on Dynamic Coding of Bargain Model in Inserting Order

摘要：

In this paper, a new method to solve the hybrid genetic algorithm based on dynamic coding by bargain model in inserting order is proposed. A new coding method for the inserting order is presented also. Corresponding crossover and mutation operators are given. These operators can easily keep the feasibility of solution. They can also satisfy the stochastic demand of genetic algorithm. Finally, an example for a workshop inserting order is given. The results show the effectiveness of the algorithm.

作者: Xin-min ZHANG Ying HAN Xing-yuan ZHAO

作者单位: School of Mechanical Engineering, Shenyang University of Technology, Shenyang, P.R.China Department of Business Administration, Liaoning Economic Management Cadre Institute, Shenyang, P.R.C

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1821-1824

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）