Reservoir Optimization in Water Resources: a Review

Asmadi Ahmad, Ahmed El-Shafie, Siti Fatin Mohd Razali, Zawawi Samba Mohamad

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

This paper reviews current optimization technique developed to solve reservoir operation problems in water resources. The application of conventional, especially evolutionary computation, combination of simulation-optimization and multi objectives optimization in reservoir operation will be discussed and investigated. Furthermore, new optimization algorithm from other applications will be presented by focusing on Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) as alternative methods that can be explored by researchers in water resources field. Finally this paper looks into the challenges and issues of climate change in reservoir optimization.

Original languageEnglish
JournalWater Resources Management
DOIs
Publication statusAccepted/In press - 19 Jun 2014

Fingerprint

Water resources
water resource
Multiobjective optimization
Climate change
Evolutionary algorithms
bee
climate change
simulation

Keywords

  • Climate change
  • Evolutionary computer
  • Optimization
  • Reservoir

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

Cite this

Reservoir Optimization in Water Resources : a Review. / Ahmad, Asmadi; El-Shafie, Ahmed; Mohd Razali, Siti Fatin; Mohamad, Zawawi Samba.

In: Water Resources Management, 19.06.2014.

Research output: Contribution to journalArticle

Ahmad, Asmadi ; El-Shafie, Ahmed ; Mohd Razali, Siti Fatin ; Mohamad, Zawawi Samba. / Reservoir Optimization in Water Resources : a Review. In: Water Resources Management. 2014.
@article{01dbd388168343199cea89f181cc36aa,
title = "Reservoir Optimization in Water Resources: a Review",
abstract = "This paper reviews current optimization technique developed to solve reservoir operation problems in water resources. The application of conventional, especially evolutionary computation, combination of simulation-optimization and multi objectives optimization in reservoir operation will be discussed and investigated. Furthermore, new optimization algorithm from other applications will be presented by focusing on Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) as alternative methods that can be explored by researchers in water resources field. Finally this paper looks into the challenges and issues of climate change in reservoir optimization.",
keywords = "Climate change, Evolutionary computer, Optimization, Reservoir",
author = "Asmadi Ahmad and Ahmed El-Shafie and {Mohd Razali}, {Siti Fatin} and Mohamad, {Zawawi Samba}",
year = "2014",
month = "6",
day = "19",
doi = "10.1007/s11269-014-0700-5",
language = "English",
journal = "Water Resources Management",
issn = "0920-4741",
publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Reservoir Optimization in Water Resources

T2 - a Review

AU - Ahmad, Asmadi

AU - El-Shafie, Ahmed

AU - Mohd Razali, Siti Fatin

AU - Mohamad, Zawawi Samba

PY - 2014/6/19

Y1 - 2014/6/19

N2 - This paper reviews current optimization technique developed to solve reservoir operation problems in water resources. The application of conventional, especially evolutionary computation, combination of simulation-optimization and multi objectives optimization in reservoir operation will be discussed and investigated. Furthermore, new optimization algorithm from other applications will be presented by focusing on Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) as alternative methods that can be explored by researchers in water resources field. Finally this paper looks into the challenges and issues of climate change in reservoir optimization.

AB - This paper reviews current optimization technique developed to solve reservoir operation problems in water resources. The application of conventional, especially evolutionary computation, combination of simulation-optimization and multi objectives optimization in reservoir operation will be discussed and investigated. Furthermore, new optimization algorithm from other applications will be presented by focusing on Artificial Bee Colony (ABC) and Gravitational Search Algorithm (GSA) as alternative methods that can be explored by researchers in water resources field. Finally this paper looks into the challenges and issues of climate change in reservoir optimization.

KW - Climate change

KW - Evolutionary computer

KW - Optimization

KW - Reservoir

UR - http://www.scopus.com/inward/record.url?scp=84902302026&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902302026&partnerID=8YFLogxK

U2 - 10.1007/s11269-014-0700-5

DO - 10.1007/s11269-014-0700-5

M3 - Article

AN - SCOPUS:84927805881

JO - Water Resources Management

JF - Water Resources Management

SN - 0920-4741

ER -