17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
New Operators of Genetic Algorithms for Traveling Salesman Problem
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
This paper describes an application of genetic algorithm to the traveling salesman problem. New knowledge based multiple inversion operator and a neighborhood swapping operator are proposed. Experimental results on different benchmark data sets have been found to provide superior results as compared to some other existing methods.
Index Terms:
knowledge based multiple inversion, order crossover, knowledge based neighborhood swapping
Citation:
Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal, "New Operators of Genetic Algorithms for Traveling Salesman Problem," icpr, vol. 2, pp.497-500, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004