Name
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. beta-hill climbing is a recent metaheuristic local search-based algorithm. In this paper, the multi-reservoir systems optimization problem is tackled using beta-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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1515/jisys-2017-0159 | JOURNAL OF INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
beta-Hill climbing,optimization,multi-reservior operation,partially and fully constrained,local search-based heuristic method | Hill climbing,Mathematical optimization,Evolutionary algorithm,Scheduling (computing),Computer science,Curse of dimensionality,Local search (optimization),Climbing,Optimization problem,Metaheuristic | Journal |
Volume | Issue | ISSN |
28 | 4 | 0334-1860 |
Citations | PageRank | References |
2 | 0.37 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emad Alsukni | 1 | 2 | 0.37 |
| Omar Suleiman Arabeyyat | 2 | 2 | 0.37 |
| mohammed a awadallah | 3 | 273 | 22.16 |
| Laaly Alsamarraie | 4 | 2 | 0.37 |
| Iyad Abu Doush | 5 | 178 | 23.76 |
| Mohammed Azmi Al-Betar | 6 | 620 | 43.69 |