Article ID: | iaor20031640 |
Country: | Netherlands |
Volume: | 140 |
Issue: | 3 |
Start Page Number: | 606 |
End Page Number: | 617 |
Publication Date: | Aug 2002 |
Journal: | European Journal of Operational Research |
Authors: | Choi Gyunghyun, Kim Jongsoo, Seo Yoonho, Moon Chiung |
Keywords: | heuristics |
The traveling salesman problem with precedence constraints (TSPPC) is one of the most difficult combinatorial optimization problems. In this paper, an efficient genetic algorithm (GA) to solve the TSPPC is presented. The key concept of the proposed GA is a topological sort, which is defined as an ordering of vertices in a directed graph. Also, a new crossover operation is developed for the proposed GA. The results of numerical experiments show that the proposed GA produces an optimal solution and shows superior performance compared to the traditional algorithms.