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New Operators of Genetic Algorithms for Traveling Salesman Problem
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133427617th International Conference on Patt ...
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Shubhra Sankar Ray, Indian Statistical Institute
Sanghamitra Bandyopadhyay, Indian Statistical Institute
Sankar K. Pal, Indian Statistical Institute
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
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