APPLICATION OF BIOGEOGRAPHY-BASED OPTIMIZATION (BBO) IN AN OPTIMAL OPERATION OF RESERVOIRS (CASE STUDY: THE KARON4 DAM)

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HOSSEINI MOGHARI SEYED MOHAMMAD; BOZORG HADDAD OMID

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Journal: Journal of Water Resources Engineering Year:2017 | Volume:10 | Issue:33 Page(s): 61-72

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Title

APPLICATION OF BIOGEOGRAPHY-BASED OPTIMIZATION (BBO) IN AN OPTIMAL OPERATION OF RESERVOIRS (CASE STUDY: THE KARON4 DAM)

Author(s)

HOSSEINI MOGHARI SEYED MOHAMMAD | BOZORG HADDAD OMID | Issue Writer Certificate

Keywords

EVOLUTIONARY ALGORITHMQ1

OPTIMIZATIONQ2

BIOGEOGRAPHY-BASED OPTIMIZATIONQ1

OPERATION OF RESERVOIRQ2

Abstract

Nowadays, along with an increase in water needs, there is no balance between water demand and water supply in most regions of the country. Therefore, planning an appropriate policy to strike a balance between a declining water supply and an increasing demand to prevent a crisis is of utmost importance. The use of OPTIMIZATION methods in this context can be useful. EVOLUTIONARY ALGORITHM methods are known as appropriate methods in this regard, and their suitable performance have been reported. Biogeography-based OPTIMIZATION (BBO) is a new EVOLUTIONARY ALGORITHM which its high performance in some aspects has been proved. The main objective of this study was to assess the performance of BBO in water resources management for the first time. Firstly, BBO was used for finding optimal points of three benchmark function including Sphere, Rosenbrock, and Bukin6; secondly, it was applied for an optimal operation of the Karon4 Reservoir with the aim of hydropower generation. In order to evaluate the performance of BBO, in addition to this method, the genetic algorithm (GA) and the nonlinear programming (NLP) were employed. The results of benchmark function showed that BBO delivered a better performance than the GA in finding the optimal points of three functions. Moreover, BBO reached an optimal solution with a higher degree of accuracy. In operation of the Karon 4 Reservoir, the results also indicated the high efficiency of BBO in extracting optimal operational policies in such circumstances; the objective function value of BBO at the best performance was 1.223, and, that for GA was 1.535. Furthermore, the global optimal solution obtained from NLP for this problem was 1.213.

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APA: Copy

HOSSEINI MOGHARI, SEYED MOHAMMAD, & BOZORG HADDAD, OMID. (2017). APPLICATION OF BIOGEOGRAPHY-BASED OPTIMIZATION (BBO) IN AN OPTIMAL OPERATION OF RESERVOIRS (CASE STUDY: THE KARON4 DAM). WATER ENGINEERING, 10(33 ), 61-72. SID. https://sid.ir/paper/169434/en

Vancouver: Copy

HOSSEINI MOGHARI SEYED MOHAMMAD, BOZORG HADDAD OMID. APPLICATION OF BIOGEOGRAPHY-BASED OPTIMIZATION (BBO) IN AN OPTIMAL OPERATION OF RESERVOIRS (CASE STUDY: THE KARON4 DAM). WATER ENGINEERING[Internet]. 2017;10(33 ):61-72. Available from: https://sid.ir/paper/169434/en

IEEE: Copy

SEYED MOHAMMAD HOSSEINI MOGHARI, and OMID BOZORG HADDAD, “APPLICATION OF BIOGEOGRAPHY-BASED OPTIMIZATION (BBO) IN AN OPTIMAL OPERATION OF RESERVOIRS (CASE STUDY: THE KARON4 DAM),” WATER ENGINEERING, vol. 10, no. 33 , pp. 61–72, 2017, [Online]. Available: https://sid.ir/paper/169434/en

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