Title :
Development of a new optimization method, yin-yang algorithm, for traveling salesman problem
Author :
Tam, S.C. ; Chio, C.H. ; Tam, H.K.
Author_Institution :
Dept. of Math., Univ. of Macau, Macao, China
Abstract :
A new heuristic method, yin-yang algorithm (YYA), is developed in this paper for solving the traveling salesman problem (TSP). It is based on the transformation operators of hexagrams in I Ching, one of the Chinese classic texts. Six symmetric TSP problems from TSPLIB are used to test the YYA. The results are then compared with that of genetic algorithm (GA) in section IV with the same parameters setting and same initial population. The results show that the YYA works more efficient than the GA in solving TSP problems.
Keywords :
mathematical operators; travelling salesman problems; Chinese classic texts; TSPLIB; hexagrams; optimization method; six symmetric TSP problems; transformation operators; traveling salesman problem; yin-yang algorithm; Aerospace electronics; Algorithm design and analysis; Biological cells; Cities and towns; Encoding; Genetic algorithms; Traveling salesman problems; I Ching; genetic algorithm; optimization method; traveling salesman problem; yin-yang algorithm;
Conference_Titel :
System Science and Engineering (ICSSE), 2011 International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-61284-351-3
Electronic_ISBN :
978-1-61284-472-5
DOI :
10.1109/ICSSE.2011.5961907