The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization
This paper presented the application of Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) in reservoir optimization. ABC is an algorithm based on the foraging behaviour of bee while GSA imitates the gravitational processes. These algorithms were used to minimize the irrigation rel...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2016
|
| Subjects: |
| _version_ | 1825721048302092288 |
|---|---|
| author | Ahmad, A. Razali, S.F.M. Mohamed, Z.S. El-Shafie, Ahmed |
| author_facet | Ahmad, A. Razali, S.F.M. Mohamed, Z.S. El-Shafie, Ahmed |
| author_sort | Ahmad, A. |
| collection | UM |
| description | This paper presented the application of Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) in reservoir optimization. ABC is an algorithm based on the foraging behaviour of bee while GSA imitates the gravitational processes. These algorithms were used to minimize the irrigation release deficit for Timah Tasoh Dam located at the Northern part of Peninsular Malaysia. Results proved the superiority of the ABC compared to GSA with regards to faster convergence rate, stability, higher reliability and lower vulnerability indexes, while GSA is better in the resiliency indicator measure. Finally, both algorithms can be used to solve reservoir optimization problem with their own unique capability and to improve the performance of the reservoir compared to the existing reservoir standard operation procedure. |
| first_indexed | 2024-03-06T05:44:24Z |
| format | Article |
| id | um.eprints-18088 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:44:24Z |
| publishDate | 2016 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | um.eprints-180882019-09-11T04:36:59Z http://eprints.um.edu.my/18088/ The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization Ahmad, A. Razali, S.F.M. Mohamed, Z.S. El-Shafie, Ahmed TA Engineering (General). Civil engineering (General) This paper presented the application of Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) in reservoir optimization. ABC is an algorithm based on the foraging behaviour of bee while GSA imitates the gravitational processes. These algorithms were used to minimize the irrigation release deficit for Timah Tasoh Dam located at the Northern part of Peninsular Malaysia. Results proved the superiority of the ABC compared to GSA with regards to faster convergence rate, stability, higher reliability and lower vulnerability indexes, while GSA is better in the resiliency indicator measure. Finally, both algorithms can be used to solve reservoir optimization problem with their own unique capability and to improve the performance of the reservoir compared to the existing reservoir standard operation procedure. Springer Verlag 2016 Article PeerReviewed Ahmad, A. and Razali, S.F.M. and Mohamed, Z.S. and El-Shafie, Ahmed (2016) The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization. Water Resources Management, 30 (7). pp. 2497-2516. ISSN 0920-4741, DOI https://doi.org/10.1007/s11269-016-1304-z <https://doi.org/10.1007/s11269-016-1304-z>. http://dx.doi.org/10.1007/s11269-016-1304-z doi:10.1007/s11269-016-1304-z |
| spellingShingle | TA Engineering (General). Civil engineering (General) Ahmad, A. Razali, S.F.M. Mohamed, Z.S. El-Shafie, Ahmed The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title | The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title_full | The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title_fullStr | The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title_full_unstemmed | The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title_short | The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization |
| title_sort | application of artificial bee colony and gravitational search algorithm in reservoir optimization |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT ahmada theapplicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT razalisfm theapplicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT mohamedzs theapplicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT elshafieahmed theapplicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT ahmada applicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT razalisfm applicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT mohamedzs applicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization AT elshafieahmed applicationofartificialbeecolonyandgravitationalsearchalgorithminreservoiroptimization |