Interactive Genetic Algorithms with Grey Modeling for Individuals Fitness

摘要：

In order to apply the interactive Genetic Algorithms (GA) into complicated optimization problem,an interactive Genetic Algorithms with grey prediction for fitness of evolutionary individuals is proposed,in which the uncertainty of evolutionary individuals is measured by gery modeling. By predicting the grey modeling, the reliableness which reflecting the measurement is abstracted. On this basis,the formulation of fitness adjustment is proposed. The algorithm is applied to a fashion evolutionary design system, test results show that it can find more satisfactory solutions per generation.

关键词： genetic algorithm interaction grey modeling fitness

作者: Guo Guang-song Chen liang-ji

作者单位: School of Mechatronics Engineering Zheng Zhou Institute of Aeronautical Industry Management Zheng Zh School of Mechatronics Engineering Zheng Zhou Institute of Aeronautical Industry Management

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 144-147

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）