Multiple-reservoir scheduling using β-hill climbing algorithm

Emad Alsukni, Omar Suleiman Arabeyyat, Mohammed A. Awadallah, Laaly Alsamarraie, Iyad Abu-Doush, Mohammed Azmi Al-Betar

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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.

Original languageEnglish
Pages (from-to)559-570
Number of pages12
JournalJournal of Intelligent Systems
Volume28
Issue number4
DOIs
StatePublished - 2021

Keywords

  • Local search-based heuristic method
  • Multi-reservior operation
  • Optimization
  • Partially and fully constrained
  • β-Hill climbing

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