A MULTI-RESERVOIR SYSTEM OPERATION OPTIMIZATION USING MULTI POPULATION GENETIC ALGORITHMS (CASE STUDY: GOLESTAN AND VOSHMGIR RESERVOIRS)

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NORUZI B.; BARANI GH.A.; MEFTAH HALAGHI M.; DEHGHANI A.A.

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Journal: Journal of Water and Soil Conservation Year:2011 | Volume:18 | Issue:4 Page(s): 43-62

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Title

A MULTI-RESERVOIR SYSTEM OPERATION OPTIMIZATION USING MULTI POPULATION GENETIC ALGORITHMS (CASE STUDY: GOLESTAN AND VOSHMGIR RESERVOIRS)

Author(s)

NORUZI B. | BARANI GH.A. | MEFTAH HALAGHI M. | DEHGHANI A.A. | Issue Writer Certificate

Keywords

GENETIC ALGORITHMQ2

OPTIMIZATIONQ2

PENALTY FUNCTIONSQ2

FLOOD ROUTINGQ1

Abstract

Nowadays new models have developed that provides us more with evaluating water resource systems omplications moreover; they are used extensively in quantitative operation of water resources. There for has done extensive studies a bout optimized operation of single reservoir systems. With attention to the desirable results from optimized operation of single reservoir systems, now a day have done extensive researches a bout multireservoir systems with more complexities. So in the study has studied a multireservoir system. One of the modern methods of OPTIMIZATION is Ga used in this study for optimal operation of a double reservoir system consisting golestan and voshmgir reservoir located in Gorganrood river basin. Both reservoirs are used to supply agriculture demands of the area, considering many floods occurred in the understudy area, Golestan reservoir plays a key role in yearly flood control in the region. so exact calculation of control volum in this reservoir is very important. To continue the research consists of:stages of Ga method, study of Gorganrood basin and reservoirs built on this river, becoming familiar with the goals for building of each reservoir and calculating control volum in golestan reservoir through FLOOD ROUTING using hec-5, Introducing continuing equations of doubleb reservoirs system, objective and PENALTY FUNCTIONS. Finally analysis of results through charts and graphs and comparing to realy demands was demonstrated that with mutation probability 0.1 and crossover probability 0.8 afther 600 generations will have reliability coefficient 100% about Golestan reservoir and 85.74% about Voshmgir reservoir.

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APA: Copy

NORUZI, B., BARANI, GH.A., MEFTAH HALAGHI, M., & DEHGHANI, A.A.. (2011). A MULTI-RESERVOIR SYSTEM OPERATION OPTIMIZATION USING MULTI POPULATION GENETIC ALGORITHMS (CASE STUDY: GOLESTAN AND VOSHMGIR RESERVOIRS). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 18(4), 43-62. SID. https://sid.ir/paper/156254/en

Vancouver: Copy

NORUZI B., BARANI GH.A., MEFTAH HALAGHI M., DEHGHANI A.A.. A MULTI-RESERVOIR SYSTEM OPERATION OPTIMIZATION USING MULTI POPULATION GENETIC ALGORITHMS (CASE STUDY: GOLESTAN AND VOSHMGIR RESERVOIRS). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2011;18(4):43-62. Available from: https://sid.ir/paper/156254/en

IEEE: Copy

B. NORUZI, GH.A. BARANI, M. MEFTAH HALAGHI, and A.A. DEHGHANI, “A MULTI-RESERVOIR SYSTEM OPERATION OPTIMIZATION USING MULTI POPULATION GENETIC ALGORITHMS (CASE STUDY: GOLESTAN AND VOSHMGIR RESERVOIRS),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 18, no. 4, pp. 43–62, 2011, [Online]. Available: https://sid.ir/paper/156254/en

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