A Water Flow-Like Algorithm for the Travelling Salesman Problem
Author(s) -
Ayman Srour,
Zulaiha Ali Othman,
Abdul Razak Hamdan
Publication year - 2014
Publication title -
advances in computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2356-6620
pISSN - 2314-7601
DOI - 10.1155/2014/436312
Subject(s) - travelling salesman problem , benchmark (surveying) , mathematical optimization , combinatorial optimization , metaheuristic , lin–kernighan heuristic , algorithm , graph , mathematics , computer science , christofides algorithm , 2 opt , combinatorics , geodesy , geography
The water flow-like algorithm (WFA) is a relatively new metaheuristic that performs well on the object grouping problem encountered in combinatorial optimization. This paper presents a WFA for solving the travelling salesman problem (TSP) as a graph-based problem. The performance of the WFA on the TSP is evaluated using 23 TSP benchmark datasets and by comparing it with previous algorithms. The experimental results show that the proposed WFA found better solutions in terms of the average solution and the percentage deviation of the average solution from the best-known solution
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