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Cites:

Information Journal Paper

Title

USING NEURAL NETWORKS FOR OPTIMIZATION PROBLEMS

Pages

  43-50

Keywords

Not Registered.

Abstract

 This paper addresses several algorithms based on the self-organizing neural network approach for distribution problems. The algorithm for Traveling Salesman Problem is elaborated and the extension of the proposed algorithm to more complex problems namely, Multiple Traveling Salesmen and Vehicle Routing is discussed. In order to investigate the performance of the algorithms an empirical study has been provided. The simulations, which are conducted on standard data, evaluate the overall performance of this approach by comparing the results with the best known or optimal solutions of the problem.

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  • Cite

    APA: Copy

    MODARES, A.A.H.. (2006). USING NEURAL NETWORKS FOR OPTIMIZATION PROBLEMS. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), NEW SERIES (22)(34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING)), 43-50. SID. https://sid.ir/paper/107698/en

    Vancouver: Copy

    MODARES A.A.H.. USING NEURAL NETWORKS FOR OPTIMIZATION PROBLEMS. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING)[Internet]. 2006;NEW SERIES (22)(34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING)):43-50. Available from: https://sid.ir/paper/107698/en

    IEEE: Copy

    A.A.H. MODARES, “USING NEURAL NETWORKS FOR OPTIMIZATION PROBLEMS,” INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), vol. NEW SERIES (22), no. 34 (ISSUE FOCUS: MANAGEMENT AND INDUSTRIAL ENGINEERING), pp. 43–50, 2006, [Online]. Available: https://sid.ir/paper/107698/en

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