Closure to “Application of the Water Cycle Algorithm to the Optimal Operation of Reservoir Systems” by Omid Bozorg Haddad, Mojtaba Moravej, and Hugo A. Loáiciga

2015 ◽  
Vol 141 (12) ◽  
pp. 07015030
Author(s):  
Omid Bozorg Haddad
Keyword(s):  
Water Cycle ◽  
Optimal Operation ◽  
Water Cycle Algorithm ◽  
Reservoir Systems

scholarly journals Optimal operation of reservoir systems with the symbiotic organisms search (SOS) algorithm

2017 ◽  
Vol 19 (4) ◽  
pp. 507-521 ◽  
Author(s):  
Omid Bozorg-Haddad ◽  
Ali Azarnivand ◽  
Seyed-Mohammad Hosseini-Moghari ◽  
Hugo A. Loáiciga
Keyword(s):  
Optimization Problem ◽  
Water Cycle ◽  
Optimal Solution ◽  
Global Optimum ◽  
Optimal Operation ◽  
Symbiotic Organisms Search ◽  
Water Cycle Algorithm ◽  
Reservoir Optimization ◽  
Reservoir Systems ◽  
Symbiotic Organisms

This work introduces the symbiotic organisms search (SOS) evolutionary algorithm to the optimization of reservoir operation. Unlike the genetic algorithm (GA) and the water cycle algorithm (WCA) the SOS does not require specification of algorithmic parameters. The solution effectiveness of the GA, SOS, and WCA was assessed with a single-reservoir and a multi-reservoir optimization problem. The SOS proved superior to the GA and the WCA in optimizing the objective functions of the two reservoir systems. In the single reservoir problem, with global optimum value of 1.213, the SOS, GA, and WCA determined 1.240, 1.535, and 1.262 as the optimal solutions, respectively. The superiority of SOS was also verified in a hypothetical four-reservoir optimization problem. In this case, the GA, WCA, and SOS in their best performance among 10 solution runs converged to 97.46%, 99.56%, and 99.86% of the global optimal solution. Besides its better performance in approximating optima, the SOS avoided premature convergence and produced lower standard deviation about optima.

Optimal Operation of Multireservoir Systems by Enhanced Water Cycle Algorithm

2019 ◽  
Vol 7 (1) ◽  
pp. 27-43
Author(s):  
Yanjun Kong ◽  
Yadong Mei ◽  
Weinan Li ◽  
Ben Yue ◽  
Xianxun Wang
Keyword(s):  
Water Cycle ◽  
Water System ◽  
System Size ◽  
Optimal Operation ◽  
Test Functions ◽  
Water Cycle Algorithm ◽  
Adaptive Parameter ◽  
Fitness Value ◽  
Better Than

In this article, an enhanced water cycle algorithm (EWCA) is proposed and applied to optimize the operation of multireservoir systems. Three improvements have been made to the water cycle algorithm (WCA). They refer to high-quality initial solutions obtained by the chaos-based method, balancing of exploration of streams using a dynamic adaptive parameter, and dynamic variation of sub-water system size using the fitness value of rivers. For the purpose of verifying the improvements, three typical benchmark functions were selected as test functions. It has shown that EWCA performs better than WCA and water cycle algorithm with evaporation rate (ER-WCA). And then these three algorithms were also applied to optimize the operation of a multireservoir system with complex constrains as the case study. By comparing the results, it is found that the EWCA has higher ability to find a feasible solution in a narrow searching space. The effectiveness of the improvements is confirmed.

Optimal operation of multi-reservoirs by water cycle algorithm

2018 ◽  
Vol 171 (4) ◽  
pp. 179-190 ◽  
Author(s):  
Kourosh Qaderi ◽  
Saeid Akbarifard ◽  
Mohamad Reza Madadi ◽  
Bahram Bakhtiari
Keyword(s):  
Water Cycle ◽  
Optimal Operation ◽  
Water Cycle Algorithm

Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model

2019 ◽  
Vol 7 (3) ◽  
pp. 117
Author(s):  
Abeer Shaban Omar ◽  
Hany M. Hasanien ◽  
Ahmed Al-Durra ◽  
Walid H. Abd El-Hameed
Keyword(s):  
Water Cycle ◽  
Parameters Estimation ◽  
Solar Photovoltaic ◽  
Water Cycle Algorithm
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