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Information Journal Paper

Title

A NEW VARIANCE-BASED METHOD FOR SOLVING STOCHASTIC GRAPH OPTIMIZATION PROBLEM USING LEARNING AUTOMATA

Author(s)

MEYBODI M.R. target="_blank">MOLLAKHALILI MEYBODI M.R. | MEYBODI M.R. | Issue Writer Certificate 

Pages

  1-13

Abstract

 In this paper, a new criterion is introduced for solving OPTIMIZATION problems on STOCHASTIC GRAPHs- as a model of computer networks-by stochastic LEARNING AUTOMATA. This proposed method, because of considering estimated VARIANCE of response of environment, can better adaptation to changes of environment. As a result, the proposed method can produce better response to LEARNING AUTOMATA actions.The proposed method, by entering a noise, can avoid LEARNING AUTOMATA being stuck at a local optimum point. Our simulation shows that this proposed method can be improve the convergence rate of Automata-based algorithm.

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    Cite

    APA: Copy

    MOLLAKHALILI MEYBODI, M.R., & MEYBODI, M.R.. (2017). A NEW VARIANCE-BASED METHOD FOR SOLVING STOCHASTIC GRAPH OPTIMIZATION PROBLEM USING LEARNING AUTOMATA. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 15(1), 1-13. SID. https://sid.ir/paper/228446/en

    Vancouver: Copy

    MOLLAKHALILI MEYBODI M.R., MEYBODI M.R.. A NEW VARIANCE-BASED METHOD FOR SOLVING STOCHASTIC GRAPH OPTIMIZATION PROBLEM USING LEARNING AUTOMATA. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2017;15(1):1-13. Available from: https://sid.ir/paper/228446/en

    IEEE: Copy

    M.R. MOLLAKHALILI MEYBODI, and M.R. MEYBODI, “A NEW VARIANCE-BASED METHOD FOR SOLVING STOCHASTIC GRAPH OPTIMIZATION PROBLEM USING LEARNING AUTOMATA,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 15, no. 1, pp. 1–13, 2017, [Online]. Available: https://sid.ir/paper/228446/en

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