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Information Journal Paper

Title

A HYBRID METAHEURISTIC USING FUZZY GREEDY SEARCH OPERATOR FOR COMBINATORIAL OPTIMIZATION WITH SPECIFIC REFERENCE TO THE TRAVELLING SALESMAN PROBLEM

Pages

  63-71

Abstract

 We describe a hybrid meta-heuristic algorithm for COMBINATORIAL OPTIMIZATION problems with a specific reference to the travelling salesman problem (TSP). The method is a combination of a genetic algorithm (GA) and greedy randomized adaptive search procedure (GRASP). A new adaptive fuzzy a greedy search operator is developed for this hybrid method.Computational experiments using a wide range of standard benchmark problems indicate that the proposed hybrid meta-heuristic approach is very efficient.

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    APA: Copy

    SHEIBANI, K.. (2011). A HYBRID METAHEURISTIC USING FUZZY GREEDY SEARCH OPERATOR FOR COMBINATORIAL OPTIMIZATION WITH SPECIFIC REFERENCE TO THE TRAVELLING SALESMAN PROBLEM. IRANIAN JOURNAL OF OPERATIONS RESEARCH, 2(2), 63-71. SID. https://sid.ir/paper/308447/en

    Vancouver: Copy

    SHEIBANI K.. A HYBRID METAHEURISTIC USING FUZZY GREEDY SEARCH OPERATOR FOR COMBINATORIAL OPTIMIZATION WITH SPECIFIC REFERENCE TO THE TRAVELLING SALESMAN PROBLEM. IRANIAN JOURNAL OF OPERATIONS RESEARCH[Internet]. 2011;2(2):63-71. Available from: https://sid.ir/paper/308447/en

    IEEE: Copy

    K. SHEIBANI, “A HYBRID METAHEURISTIC USING FUZZY GREEDY SEARCH OPERATOR FOR COMBINATORIAL OPTIMIZATION WITH SPECIFIC REFERENCE TO THE TRAVELLING SALESMAN PROBLEM,” IRANIAN JOURNAL OF OPERATIONS RESEARCH, vol. 2, no. 2, pp. 63–71, 2011, [Online]. Available: https://sid.ir/paper/308447/en

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