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Multiple-reservoir scheduling using β-hill climbing algorithm
E. Alsukni, O.S. Arabeyyat, M.A. Awadallah, L. Alsamarraie, I. Abu-Doush,
Published in De Gruyter Open Ltd
2021
Volume: 28
   
Issue: 4
Pages: 559 - 570
Abstract
The multi-reservoir systems optimization problem requires defining a set of rules to recognize the water amount stored and released in accordance with the system constraints. Traditional methods are not suitable for complex multi-reservoir systems with high dimensionality. Recently, metaheuristic-based algorithms such as evolutionary algorithms and local search-based algorithms are successfully used to solve the multi-reservoir systems. β-hill climbing is a recent metaheuristic local search-based algorithm. In this paper, the multi-reservoir systems optimization problem is tackled using β-hill climbing. In order to validate the proposed method, four-reservoir systems used in the literature to evaluate the algorithm are utilized. A comparative evaluation is conducted to evaluate the proposed method against other methods found in the literature. The obtained results show the competitiveness of the proposed algorithm. © 2019 De Gruyter. All rights reserved.
About the journal
JournalJournal of Intelligent Systems
PublisherDe Gruyter Open Ltd
ISSN03341860