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A Fuzzy Adaptive Genetic Solution with M Salesmen for Travelling Salesman Problem
Author Name : Neha Kumari, Savita Bishnoi
ABSTRACT To resolve the criticality of travelling salesman problem, in this work a segmented optimization method is defined. The city network is here defined with M salesman where each salesman covered the number of cities in the adaptive region. Once the region and the cities are identified, the fuzzy based genetic approach was applied over the region to generate the optimized sub-solution. These sub-solutions are then combined to generate the optimized solution. The work is applied on different networks are results shows that the method provided the effective cost optimized results.