Open Access Open Access  Restricted Access Subscription Access

A Survey on Travelling Salesman Problem (TSP) to Improve the Distance between Cities by Using Ant Colony Algorithm


Affiliations
1 Computer Science and Engineering Department, Giani Zail Singh PTU Campus, Bathinda, India
 

The travelling salesman problem (TSP) is a nondeterministic Polynomial hard problem in combinatorial optimization studied in theoretical computer science and operations research. And to solve this problem we used two popular meta-heuristics method that used for optimization techniques; the first one is Ant Colony Optimization (ACO), and the second is Genetic Algorithm (GA). In this work, we try to apply both techniques to solve TSP by using the same dataset and compare between them to determine the best one for travelling salesman problem.

Keywords

Ant Colony Optimization, Genetic Algorithm, Travelling Salesman Problem, Wireless Sensor Networks.
User
Notifications
Font Size

Abstract Views: 207

PDF Views: 4




  • A Survey on Travelling Salesman Problem (TSP) to Improve the Distance between Cities by Using Ant Colony Algorithm

Abstract Views: 207  |  PDF Views: 4

Authors

Nancy Goyal
Computer Science and Engineering Department, Giani Zail Singh PTU Campus, Bathinda, India
Paramjeet Singh
Computer Science and Engineering Department, Giani Zail Singh PTU Campus, Bathinda, India

Abstract


The travelling salesman problem (TSP) is a nondeterministic Polynomial hard problem in combinatorial optimization studied in theoretical computer science and operations research. And to solve this problem we used two popular meta-heuristics method that used for optimization techniques; the first one is Ant Colony Optimization (ACO), and the second is Genetic Algorithm (GA). In this work, we try to apply both techniques to solve TSP by using the same dataset and compare between them to determine the best one for travelling salesman problem.

Keywords


Ant Colony Optimization, Genetic Algorithm, Travelling Salesman Problem, Wireless Sensor Networks.