scholarly journals Multiobjective Optimization of a Multireservoir System with Stochastic Inflows

1993 ◽  
Vol 37 ◽  
pp. 63-68 ◽  
Author(s):  
Yicheng WANG ◽  
Nobuyuki TAMAI ◽  
Yoshihisa KAWAHARA
Keyword(s):  
Multiobjective Optimization ◽  
Stochastic Inflows ◽  
Multireservoir System

scholarly journals Multiobjective Optimization Problem of Multireservoir System in Semiarid Areas

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Z. J. Chen ◽  
Z. J. Cheng ◽  
X. Q. Yan
Keyword(s):  
Water Resources ◽  
Multiobjective Optimization ◽  
River Basin ◽  
Optimization Problem ◽  
Performance Metrics ◽  
Multiobjective Optimization Problem ◽  
Domestic Water ◽  
Water Resources Development ◽  
Multireservoir System ◽  
Resources Development

With the increasing scarcity of water resources, the growing importance of the optimization operation of the multireservoir system in water resources development, utilization, and management is increasingly evident. Some of the existing optimization methods are inadequate in applicability and effectiveness. Therefore, we need further research in how to enhance the applicability and effectiveness of the algorithm. On the basis of the research of the multireservoir system’s operating parameters in the Urumqi River basin, we establish a multiobjective optimization problem (MOP) model of water resources development, which meets the requirements of water resources development. In the mathematical model, the domestic water consumption is the biggest, the production of industry and agricultural is the largest, the gross output value of industry and agricultural is the highest, and the investment of the water development is the minimum. We use the weighted variable-step shuffled frog leaping algorithm (SFLA) to resolve it, which satisfies the constraints. Through establishing the test function and performance metrics, we deduce the evolutionary algorithms, which suit for solving MOP of the scheduling, and realize the multiobjective optimization of the multireservoir system. After that, using the fuzzy theory, we convert the competitive multiobjective function into single objective problem of maximum satisfaction, which is the only solution. A feasible solution is provided to resolve the multiobjective scheduling optimization of multireservoir system in the Urumqi River basin. It is the significance of the layout of production, the regional protection of ecological environment, and the sufficient and rational use of natural resources, in Urumqi and the surrounding areas.

Multiobjective Optimization of Plate-Fin Heat Exchanger by Tsallis Differential Evolution

2017 ◽  
Author(s):  
Viviana Mariani ◽  
Leandro Coelho ◽  
Emerson Hochsteiner de Vasconcelos Segundo
Keyword(s):  
Heat Exchanger ◽  
Multiobjective Optimization ◽  
Differential Evolution
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