Title :
The continuous selective generalized traveling salesman problem: An efficient ant colony system
Author_Institution :
Key Lab. of Numerical Simulation of Sichuan Province, Neijiang Normal Univ., Neijiang, China
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;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234747