The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization

Asmadi Ahmad, Siti Fatin Mohd Razali, Zawawi Samba Mohamed, Ahmed El-shafie

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalWater Resources Management
DOIs
Publication statusAccepted/In press - 29 Mar 2016

Fingerprint

bee
foraging behavior
Irrigation
Dams
vulnerability
dam
irrigation

Keywords

  • Artificial bee colony
  • Gravitational search algorithm
  • Reservoir optimization
  • Reservoir performance measure

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Cite this

@article{64de6227f0164b3192081fe271d37054,
title = "The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization",
abstract = "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.",
keywords = "Artificial bee colony, Gravitational search algorithm, Reservoir optimization, Reservoir performance measure",
author = "Asmadi Ahmad and {Mohd Razali}, {Siti Fatin} and Mohamed, {Zawawi Samba} and Ahmed El-shafie",
year = "2016",
month = "3",
day = "29",
doi = "10.1007/s11269-016-1304-z",
language = "English",
pages = "1--20",
journal = "Water Resources Management",
issn = "0920-4741",
publisher = "Springer Netherlands",

}

TY - JOUR

T1 - The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization

AU - Ahmad, Asmadi

AU - Mohd Razali, Siti Fatin

AU - Mohamed, Zawawi Samba

AU - El-shafie, Ahmed

PY - 2016/3/29

Y1 - 2016/3/29

N2 - 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.

AB - 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.

KW - Artificial bee colony

KW - Gravitational search algorithm

KW - Reservoir optimization

KW - Reservoir performance measure

UR - http://www.scopus.com/inward/record.url?scp=84962294295&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962294295&partnerID=8YFLogxK

U2 - 10.1007/s11269-016-1304-z

DO - 10.1007/s11269-016-1304-z

M3 - Article

SP - 1

EP - 20

JO - Water Resources Management

JF - Water Resources Management

SN - 0920-4741

ER -