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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2013 Vol.1(4): 320-322 ISSN: 1793-8244
DOI: 10.7763/JACN.2013.V1.64

Application of the Modified 2-OPT and Jumping Gene Operators in Multi-Objective Genetic Algorithm to Solve MOTSP

Rohan Agrawal
Abstract—Evolutionary Multi-Objective Optimization is becoming a hot research area and quite a few papers regarding these algorithms have been published. However the role of local search techniques has not been expanded adequately. This paper studies the role of a local search technique called 2-OPT for the Multi-Objective Travelling Salesman Problem (MOTSP). A new mutation operator called Jumping Gene (JG) is also used. Since 2-OPT operator was intended for the single objective TSP, its domain has been expanded to MOTSP in this paper. This new technique is applied to the list of KroAB100 cities.

Index Terms—Genetic algorithm, multi-objective, jumping gene, travelling salesman problem

Rohan Agrawal, was with the JIIT Noida, India. He is now with the Department of CS, Columbia University, USA (e-mail: ra2616@columbia.edu).


Cite:Rohan Agrawal, "Application of the Modified 2-OPT and Jumping Gene Operators in Multi-Objective Genetic Algorithm to Solve MOTSP," Journal of Advances in Computer Networks vol. 1, no. 4, pp. 320-322, 2013.

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