TY - JOUR
T1 - Multiple-reservoir scheduling using β-hill climbing algorithm
AU - Alsukni, Emad
AU - Arabeyyat, Omar Suleiman
AU - Awadallah, Mohammed A.
AU - Alsamarraie, Laaly
AU - Abu-Doush, Iyad
AU - Al-Betar, Mohammed Azmi
N1 - Publisher Copyright:
© 2019 De Gruyter. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Local search-based heuristic method
KW - Multi-reservior operation
KW - Optimization
KW - Partially and fully constrained
KW - β-Hill climbing
UR - http://www.scopus.com/inward/record.url?scp=85034452708&partnerID=8YFLogxK
U2 - 10.1515/jisys-2017-0159
DO - 10.1515/jisys-2017-0159
M3 - Article
AN - SCOPUS:85034452708
SN - 0334-1860
VL - 28
SP - 559
EP - 570
JO - Journal of Intelligent Systems
JF - Journal of Intelligent Systems
IS - 4
ER -