Genetic operators for combinatorial optimization in TSP and microarray gene ordering
Applied Intelligence
A new evolutionary algorithm using shadow price guided operators
Applied Soft Computing
Genetic algorithm for asymmetric traveling salesman problem with imprecise travel times
Journal of Computational and Applied Mathematics
New genetic operators for solving TSP: application to microarray gene ordering
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
An intelligent routing approach using genetic algorithms for quality graded network
International Journal of Intelligent Systems Technologies and Applications
A strategy adaptive genetic algorithm for solving the travelling salesman problem
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
International Journal of Bio-Inspired Computation
A QoS-based routing approach using genetic algorithms for bandwidth maximisation in networks
International Journal of Artificial Intelligence and Soft Computing
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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.