DocumentCode :
2560535
Title :
The continuous selective generalized traveling salesman problem: An efficient ant colony system
Author :
Lian-Ming, Mou
Author_Institution :
Key Lab. of Numerical Simulation of Sichuan Province, Neijiang Normal Univ., Neijiang, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1242
Lastpage :
1246
Abstract :
The Generalized Traveling Salesman Problem (GTSP) extends the classical Traveling Salesman Problem (TSP) and has many interesting applications. In this paper we propose a Continuous Selective Generalized Traveling Salesman Problem (CSGTSP), and the existing GTSP is only a special case of the CSGTSP. To solving it effectively, we extend the ant colony system method from TSP to CSGTSP. Meanwhile, to speed up the convergence and improve the quality of solution, a constrained local searching technique is introduced into this method according to the characteristic of the CSGTSP. Experimental results on numerous TSPLIB instances show that the proposed method can deal with the CSGTSP fairly well, and the developed local searching technique is significantly effective.
Keywords :
ant colony optimisation; convergence; search problems; travelling salesman problems; CSGTSP; TSPLIB; ant colony system; constrained local search technique; continuous selective generalized traveling salesman problem; convergence; Algorithm design and analysis; Clustering algorithms; Convergence; Genetic algorithms; Operations research; Partitioning algorithms; Traveling salesman problems; ACS; CSGTSP; GTSP; constrained local searching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234747
Filename :
6234747
Link To Document :
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