Study on Fuzzy Optimization Based on Immune Algorithm
This paper presents solutions for fully fuzzy optimization based on Immune Algorithm by using methods for integral calculus and ordering of fuzzy numbers, directing at nonlinear fuzzy optimization on the condition that constrain conditions, coefficients and optimum variables are all fuzzy numbers. Through analyzing examples of fully fuzzy nonlinear optimization, we will verify the effectiveness of the proposed method.
Immune Algorithm Fuzzy Optimization Nonlinear Programming
Zhang Zhiheng Liu Chaolin Hua Yongjun
Accounting Research Center, Chongqing Institute of Technology, Chongqing, P.R.China, 400050;College College of Mathematics and Physics, Chongqing University, Chongqing, P.R.China. 400044 College of Economics and Business Administration, Chongqing University, Chongqing, P.R.China.400044
国际会议
郑州
英文
2008-09-20(万方平台首次上网日期,不代表论文的发表时间)