An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints. (17th February 2014)

• Record Type: Journal Article
• Authors: Sung, Jinmo; Jeong, Bongju
• Other Names: Cui Z. Academic Editor.; Yang X. Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2014(2014)
• Publication Date: 2014-02-17
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2014/313767
• Languages: English
• ISSNs: 2356-6140

Abstract

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.