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      Developing Programming Tools to Handle Traveling Salesman Problem by the Three Object-Oriented Languages

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      Applied Computational Intelligence and Soft Computing
      Hindawi Limited

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          Abstract

          The traveling salesman problem (TSP) is one of the most famous problems. Many applications and programming tools have been developed to handle TSP. However, it seems to be essential to provide easy programming tools according to state-of-the-art algorithms. Therefore, we have collected and programmed new easy tools by the three object-oriented languages. In this paper, we present ADT (abstract data type) of developed tools at first; then we analyze their performance by experiments. We also design a hybrid genetic algorithm (HGA) by developed tools. Experimental results show that the proposed HGA is comparable with the recent state-of-the-art applications.

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          Most cited references19

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          Ant colony system: a cooperative learning approach to the traveling salesman problem

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            An effective implementation of the Lin–Kernighan traveling salesman heuristic

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              General k-opt submoves for the Lin–Kernighan TSP heuristic

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                Author and article information

                Journal
                Applied Computational Intelligence and Soft Computing
                Applied Computational Intelligence and Soft Computing
                Hindawi Limited
                1687-9724
                1687-9732
                2014
                2014
                : 2014
                :
                : 1-17
                Article
                10.1155/2014/137928
                bc74f92a-88e0-4f51-9beb-7bb9af1f9a48
                © 2014

                http://creativecommons.org/licenses/by/3.0/

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