A novel Evolutionary Algorithm and its application for the traveling salesman problem

Abstract

Based on GaoTao Algorithm (GT), Which is a typical Evolutionary Algorithm for traveling salesman problem (TSP). We first designed mapping and optimal operators, and proposed some control strategies. Then an improved GuoTao algorithm (IGT) for TSP was proposed. This algorithm was tested on some standard test instances, The results show that the algorithm presented in this paper is more efficient and more effective than existing algorithms for TSP, and it can be easily and directly generalized to solve other NP-hard combinatorial optimization problems.

Cite this paper

@article{Cai2004ANE, title={A novel Evolutionary Algorithm and its application for the traveling salesman problem}, author={Zhihua Cai and Jinguo Peng and Wei Gao and Wei Wei and Lishan Kang}, journal={Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)}, year={2004}, volume={3}, pages={2253-2257 Vol.3} }