FUZZY GENETIC ALGORITHMS BASED ON FUZZY NUMBER CODING ON 0,1 AND ITS APPLICATION

摘要：

An improved genetic algorithm for fuzzy programming problems with triangular fuzzy variables is proposed in this paper. The decentralization degree of fuzzy numbers is defined, and the way of coding triangular fuzzy number on 0, 1 is built So we can limit the type of fuzzy numbers, increase the convergence property of algorithm, and make the fuzzy information processing more reasonable. Based on the structure characteristics of optimization variables, the crossover operation was replaced by linear recombination, and a compound mutation operation to triangular fuzzy numbers is given. The effectiveness and usefulness are discussed through an example in the end.

关键词： Fuzzy optimization Genetic algorithms Decentralization degree Compound mutation

作者: SHU-TIAN WANG ZI-FANG LI ZHI-JUN ZHANG CHEN-XIA JIN

作者单位: Department of Basic Science, Hebei Institute of Industry Technology, Shijiazhuang 050091, China School of Mathematics and Statistics, Hebei University of Economics and Bussiness, Shijiazhuang 0500 Departmen of Foundation, Institute of Chemical Defense, Beijing 102205, China School of economics and management, Hebei University of Science and Technology, Shijiazhuang 050018,

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 2564-2569

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）