Study on Fuzzy Optimization Based on Genetic Algorithm

Chao Guang JIN;Yan LIN;Zhuo Shang JI

Systems Engineering - Theory & Practice ›› 2003, Vol. 23 ›› Issue (4) : 106-110.

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PDF(205 KB)
Systems Engineering - Theory & Practice ›› 2003, Vol. 23 ›› Issue (4) : 106-110. DOI: 10.12011/1000-6788(2003)4-106
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Study on Fuzzy Optimization Based on Genetic Algorithm

  • Chao Guang JIN,Yan LIN,Zhuo Shang JI
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Abstract

Using fuzzy numbers ranking this paper presents a method based on genetic algorithm to solving fully fuzzy linear and nonlinear optimization problems that the constrain conditions, coefficients and optimum variables are fuzzy numbers. In the method the variables are encoded as triangular fuzzy numbers, i.e., a variable is represented by three real numbers which are a,b and c of a triangular fuzzy number respectively. It can be concluded that the method is efficient and practicable by means of fully fuzzy li...

Key words

fuzzy number / fuzzy optimization / genetic algorithm

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Chao Guang JIN , Yan LIN , Zhuo Shang JI. Study on Fuzzy Optimization Based on Genetic Algorithm. Systems Engineering - Theory & Practice, 2003, 23(4): 106-110 https://doi.org/10.12011/1000-6788(2003)4-106
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