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The Scientific World Journal
Volume 2014 (2014), Article ID 313767, 11 pages
http://dx.doi.org/10.1155/2014/313767
Research Article

An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints

Department of Information & Industrial Engineering, Yonsei University, 50 Yonsei-Ro, Seodaemaun-gu, Seoul 120-749, Republic of Korea

Received 9 November 2013; Accepted 30 December 2013; Published 17 February 2014

Academic Editors: Z. Cui and X. Yang

Copyright © 2014 Jinmo Sung and Bongju Jeong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Traveling sales man problem with precedence constraints is one of the most notorious problems in terms of the efficiency of its solution approach, even though it has very wide range of industrial applications. We propose a new evolutionary algorithm to efficiently obtain good solutions by improving the search process. Our genetic operators guarantee the feasibility of solutions over the generations of population, which significantly improves the computational efficiency even when it is combined with our flexible adaptive searching strategy. The efficiency of the algorithm is investigated by computational experiments.