直觉模糊小生境的自适应遗传算法求解旅行商问题

doi:10.11896/j.issn.1002-137X.2016.12.008

Abstract

Abstract: An improved niche algorithm based on distance measure of intuitionistic fuzzy and self-adaptive fuzzy genetic algorithm was proposed.Utilizing the distance measure of intuitionistic fuzzy set and the individual fitness in genetic algorithm optimizing procedure which is used to measure the similarity of individual,the one with low fitness is eliminated by the share function and penalty function,which can enhance the diversity of population.Furthermore,a fuzzy control system is established to adjust the crossover and mutation rate adaptively,and the algorithm can get balance between local search and global search capability,which can avoid the premature convergence and poor searching efficiency in the later period.Simulation results of series TSPLB instances show that the proposed method has many advantages on the convergence speed,optimal precision and efficiency.

Key words: Intuitionistic fuzzy set,Niche,Genetic algorithm,Self-adaptive,Deviation rate

MEI Hai-tao, WANG Yi and HUA Ji-xue. Self-adaptive Genetic Algorithm Based on Intuitionistic Fuzzy Niche for Solving Traveling Salesman Problem[J].Computer Science, 2016, 43(12): 46-49.

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Self-adaptive Genetic Algorithm Based on Intuitionistic Fuzzy Niche for Solving Traveling Salesman Problem

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