The Research of GA Based on Machine Learning and Niche Technology on Job-shop Scheduling Problem

摘要：

In this paper the theories of machine-learning and niche technology are applied on the GA method of solving job-shop scheduling problems,to make each chromosome in the initial population have a fairly high fitness,then make the evolutionary process stable after a few iteration,and avoid the loss of the best solution.

关键词： machine-learning GA job-shop scheduling niche technology

作者: Chang Zheng Zhu Guangming

作者单位: College of Computer Science and Technology,Shandong University of Technology,P.R.China College of Mechanical Engineering,Shandong University of Technology,P.R.China

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 160-163

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）