مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

FUSION OF LEARNING AUTOMATA TO OPTIMIZE MULTI-CONSTRAINT PROBLEM

Pages

  16-21

Abstract

 This paper aims to introduce an effective classification method of learning for partitioning the data in statistical spaces. The work is based on using multi-constraint partitioning on the stochastic learning automata. Stochastic learning automata with fixed or variable structures are a reinforcement learning method. Having no information about optimized operation, such models try to find an answer to a problem. Converging speed in such algorithms in solving different problems and their route to the answer is so that they produce a proper condition if the answer is obtained. However, despite all tricks to prevent the algorithm involvement with local optimal, the algorithms do not perform well for problems with a lot of spread local optimal points and give no good answer. In this paper, the fusion of stochastic learning automata algorithms has been used to solve given problems and provide a centralized control mechanism. Looking at the results, is found that the recommended algorithm for partitioning constraints and finding optimization problems are suitable in terms of time and speed, and given a large number of samples, yield a learning rate of 97.92%. In addition, the test results clearly indicate increased accuracy and significant efficiency of recommended systems compared with single model systems based on different methods of learning automata.

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    • References

    Cite

    APA: Copy

    MOTAMED, SARA, & AHMADI, ALI. (2015). FUSION OF LEARNING AUTOMATA TO OPTIMIZE MULTI-CONSTRAINT PROBLEM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 3(1 (9)), 16-21. SID. https://sid.ir/paper/332667/en

    Vancouver: Copy

    MOTAMED SARA, AHMADI ALI. FUSION OF LEARNING AUTOMATA TO OPTIMIZE MULTI-CONSTRAINT PROBLEM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2015;3(1 (9)):16-21. Available from: https://sid.ir/paper/332667/en

    IEEE: Copy

    SARA MOTAMED, and ALI AHMADI, “FUSION OF LEARNING AUTOMATA TO OPTIMIZE MULTI-CONSTRAINT PROBLEM,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 3, no. 1 (9), pp. 16–21, 2015, [Online]. Available: https://sid.ir/paper/332667/en

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