The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem

摘要：

　　We introduce basic theory of genetic algorithms in this paper,Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem.And we realize the model by software.The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.

关键词： genetic algorithms hybrid genetic algorithms product optimization fitness function

作者: Shao Xiufeng Li Li Zhang Jian

作者单位: Department of Information Beijing City University Beijing,China IT Application Department China Electric Power Research Institute Beijing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2894-2897

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）