Title :
TSP evolutionary algorithm based on fitness increment
Author :
Yan Xiong ; Wenyong Zhou ; Chang-an Wu ; Lei Li ; Hongbing Liu
Author_Institution :
Sch. of Comput. & Inf. Technol., Xinyang Normal Univ., Xinyang, China
Abstract :
How to evaluate the fitness of individual and how to generate the offspring of parents are two issues in TSP evolutionary algorithm. In insertion operator, the parents and its offspring have the same segment, which does not improve the fitness. The novel TSP evolutionary algorithm is formed by the fitness increment computed by the different segment between parent and offspring. The experimental results on the testing TSP in TSPLIB show that the proposed algorithm can be achieved the acceptable route and speed up the evolutionary process.
Keywords :
evolutionary computation; travelling salesman problems; TSP evolutionary algorithm; fitness increment; insertion operator; traveling salesman problem; Biological cells; Cities and towns; Computers; Educational institutions; Evolutionary computation; Genetic algorithms; Genetics; TSP; evolutionary algorithm; fitness increment; insertion operator;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022549