Title :
A novel Evolutionary Algorithm and its application for the traveling salesman problem
Author :
Cai, Zhihua ; Peng, Jinguo ; Gao, Wei ; Wei, Wei ; Kang, Lishan
Author_Institution :
Dept. of Comp. Sci. & Technol., China Univ. of Geosci., Wuhan, China
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.
Keywords :
computational complexity; evolutionary computation; mathematical operators; travelling salesman problems; GaoTao algorithm; NP-hard problems; combinatorial optimization problems; evolutionary algorithm; mapping operators; optimal operators; traveling salesman problem; Algorithm design and analysis; Application software; Computer science; Evolutionary computation; Geology; Optimal control; Testing; Traveling salesman problems;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341990
