Study on the Knowledge Acquisition Mechanism in Mind Evolutionary Algorithms

摘要：

Mind Evolutionary Algorithms(MEA) is a new type of evolutional computing method that simulates evolutional process of peoples thoughts. But it does not embody the function of abstracting and utilizing knowledge in the process of human thinking activity. In this paper. Rough Set Theory and Granular Computing are introduced into MEA to mine and discover the knowledge produced in the process of evolution. And then the knowledge discovered by RST was used to select evolution subspace and to realize knowledge-based evolution. It takes a big step in imitating human thinking, improving the performance of the MEA effectively. Experiment results have shown that the proposed method has higher searching efficiency, faster convergent speed.

作者: Yan Gao-wei XIE Gang

作者单位: College of Information Engineering Taiyuan University of Technology Taiyuan,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 187-190

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）