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Information Journal Paper

Title

OPTIMIZATION OF SHUFFLED FROG LEAPING ALGORITHM IN PARAMETERS ESTIMATION OF ROUTING FLOOD MODEL

Pages

  167-174

Keywords

Not Registered.

Abstract

 The Muskingum model is a hydrologic flood routing method in which the accuracy of its parameter estimation affects the routed hydrograph, especially in the value of the peak flow flood. Meta-heuristic algorithms are good candidates to determine optimal/near-optimal parameters in the Muskingum model. In this paper, shuffled frog leaping algorithm (SFLA) was applied and compared in two benchmark and real case studies. The sum of the squared deviation (SSQ) between observed and routed outflows and the sum of the absolute value of deviation (SAD) between observed and routed outflow as the objective functions (DPO) as an important parameter on the routed flood hydrograph. Results show were considered that the SFLA improves (decreases) the SSQ and SAD by 0.03 and 0.40 percent in the benchmark problem, and by 0.27 and 3.67 percent in the real case study, respectively, compared to reported results using various optimization algorithms. In addition, the SFLA improves (decreases) the DPO of the routed hydrograph in the benchmark and real problem by 17.65 and 3.67 percent compared to the best (minimum) reported result.

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  • Cite

    APA: Copy

    OROUJI, HOSAIN, BOZORG HADAD, OMID, & FALLAH MEHDIPOUR, ELAHE. (2014). OPTIMIZATION OF SHUFFLED FROG LEAPING ALGORITHM IN PARAMETERS ESTIMATION OF ROUTING FLOOD MODEL. IRANIAN WATER RESEARCH JOURNAL, 7(13), 167-174. SID. https://sid.ir/paper/159767/en

    Vancouver: Copy

    OROUJI HOSAIN, BOZORG HADAD OMID, FALLAH MEHDIPOUR ELAHE. OPTIMIZATION OF SHUFFLED FROG LEAPING ALGORITHM IN PARAMETERS ESTIMATION OF ROUTING FLOOD MODEL. IRANIAN WATER RESEARCH JOURNAL[Internet]. 2014;7(13):167-174. Available from: https://sid.ir/paper/159767/en

    IEEE: Copy

    HOSAIN OROUJI, OMID BOZORG HADAD, and ELAHE FALLAH MEHDIPOUR, “OPTIMIZATION OF SHUFFLED FROG LEAPING ALGORITHM IN PARAMETERS ESTIMATION OF ROUTING FLOOD MODEL,” IRANIAN WATER RESEARCH JOURNAL, vol. 7, no. 13, pp. 167–174, 2014, [Online]. Available: https://sid.ir/paper/159767/en

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