What is it about?
The aim of this study is to improve the performance of the shuffled complex evolution (SCE) algorithm used in the optimization of hydropower generation in reservoirs as a complex issue in water resources
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Why is it important?
The aim of this paper was to evaluate the performance of the proposed algorithm for improving optimization of water reservoir systems. The SCE algorithm was introduced and enhanced by integration with the DE algorithm to produce the proposed algorithm. The results show that the proposed algorithm is a reasonable alternative to optimizing resource systems and can be used to solve complex issues of water resources.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. Reservoir optimization is a continuous optimization problem which is also a NP-hard in nature. In this article, the proposed algorithm is a reasonable choice for optimizing reservoir systems and can be applied to the complex issue of water resources.
Dr Mohsen Najarchi
Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran
Read the Original
This page is a summary of: Developing a shuffled complex evolution algorithm using a differential evolution algorithm for optimizing hydropower reservoir systems, Water Science & Technology Water Supply, September 2017, IWA Publishing,
DOI: 10.2166/ws.2017.179.
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