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Information Journal Paper

Title

GENETIC ALGORITHM (GA) METHOD FOR OPTIMIZATION OF MULTI- RESERVOIR SYSTEMS OPERATION

Pages

  11-20

Abstract

 A GENETIC ALGORITHM (GA) method for OPTIMIZATION of MULTI-RESERVOIR SYSTEMs operation is proposed in this paper. In this method, the parameters of operating policies are optimized using system simulation results. Hence, any operating problem with any sort of objective function, constraints and structure of OPERATING POLICY can be optimized by GA. The method is applied to a 3-reservoir system and is compared with two traditional methods of Stochastic Dynamic Programming and Dynamic Programming and Regression. The results show that GA is superior both in objective function value and in computational speed. The proposed method is further improved using a mutation power updating rule and a varying period simulation method. The later is a novel procedure proposed in this paper that is believed to help in solving computational time problem in large systems. These revisions are evaluated and proved to be very useful in converging to better solutions in much less time. The final GA method is eventually evaluated as a very efficient procedure that is able to solve problems of large MULTI-RESERVOIR SYSTEM which is usually impossible by traditional methods. In fact, the real performance of the GA method starts where others fail to function.

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  • Cite

    APA: Copy

    MOMTAHEN, SH., & BORHANI DARIAN, A.R.. (2006). GENETIC ALGORITHM (GA) METHOD FOR OPTIMIZATION OF MULTI- RESERVOIR SYSTEMS OPERATION. WATER AND WASTEWATER, 16(4 (56)), 11-20. SID. https://sid.ir/paper/104020/en

    Vancouver: Copy

    MOMTAHEN SH., BORHANI DARIAN A.R.. GENETIC ALGORITHM (GA) METHOD FOR OPTIMIZATION OF MULTI- RESERVOIR SYSTEMS OPERATION. WATER AND WASTEWATER[Internet]. 2006;16(4 (56)):11-20. Available from: https://sid.ir/paper/104020/en

    IEEE: Copy

    SH. MOMTAHEN, and A.R. BORHANI DARIAN, “GENETIC ALGORITHM (GA) METHOD FOR OPTIMIZATION OF MULTI- RESERVOIR SYSTEMS OPERATION,” WATER AND WASTEWATER, vol. 16, no. 4 (56), pp. 11–20, 2006, [Online]. Available: https://sid.ir/paper/104020/en

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