Application of a Hybrid Genetic Algorithm

摘要：

This paper analyzes the shortcomings of genetic algorithm (GA) and presents a new method to improve it with neural networks (NN). Along with the data flow, our method takes good advantages of the two algorithms and optimizes every step. At last, we apply this method in the link capacity control of the asynchronous transfer mode (ATM) and enumerate some fields that they are often applied.

关键词： Genetic Algorithm NeuralNetwork Integration Evolution Link Capacity Assignment

作者: LI Yongmei DONG Hongbin XU Chaoren MAO Jiancan

作者单位: School of Computer Engineering Jimei University Xiamen, Fujian Province, China School of Software Xiamen University Xiamen, Fujian Province, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 789-791

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）