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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Travelling Salesman Problem Using Genetic Algorithm And Fuzzy C-Mean Clustering Algorithm

[Full Text]

 

AUTHOR(S)

Ajendra Kumar, Preet Pal Singh, Pawan Joshi

 

KEYWORDS

Travelling Salesman Problem (TSP), Genetic Algorithm (GA), Fuzzy C-Mean algorithm (FCM), Fuzzy C-Mean Genetic Algorithm (FCMGA)

 

ABSTRACT

This paper presents a new algorithm called Fuzzy C-Mean Genetic Algorithm (FCMGA) to solve TSP which is used to calculate the minimum travelling cost in TSP. FCMGA is a combination of both Fuzzy C-Mean (FCM) and Genetic Algorithm (GA). The role of FCM and GA is different in this algorithm. FCM is used to find the membership values of each chromosome, whereas GA is used to apply mutation on the variables of those chromosomes. The proposed algorithm is very helpful to find nearly optimized solutions of these types of problems, in order to give the best solution of the problem with the reduction of cost. The algorithm (FCMGA) proposed here is tested with some examples and the experiment shows that the algorithm can achieve good results as compared with GA.

 

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