Intelligent Systems in Optimizing Reservoir Operation Policy

A Review

Md Shabbir Hossain, A. El-shafie

Research output: Contribution to journalReview article

41 Citations (Scopus)

Abstract

The paper presents a survey of several optimization techniques, mainly artificial intelligences (AIs) which have been applied to the reservoir operation modelling whether its single or multi-reservoir system. The reservoir system modeling is essential for any nations and the optimal use of it is always asked. The main objective of this review article is to discuss the potentiality of the evolutionary algorithms (EAs) and the ability to integrate with other techniques which can provide the best results. Also the formulation of these types of application has described on the ground of a well known benchmark problem regarding this field. The traditional algorithms got some drawbacks. The study provides a complete understanding to the EA users about next generation optimal search procedure and help to overcome the drawbacks. Though the background of application number of swarm intelligences is less comparatively than the genetic algorithm (GA), it provides a great scope for the researcher for further development. Also comparative results with other popular methods (such as, linear programming, stochastic dynamic programming) are discussed on the basis of past research results. Conclusions and suggestive remarks are made for the help of researchers and the reservoir decision makers as well.

Original languageEnglish
Pages (from-to)3387-3407
Number of pages21
JournalWater Resources Management
Volume27
Issue number9
DOIs
Publication statusPublished - 01 Jul 2013

Fingerprint

Intelligent systems
Evolutionary algorithms
Dynamic programming
Linear programming
Artificial intelligence
Genetic algorithms
artificial intelligence
linear programing
genetic algorithm
modeling
policy
Swarm intelligence

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology

Cite this

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Intelligent Systems in Optimizing Reservoir Operation Policy : A Review. / Hossain, Md Shabbir; El-shafie, A.

In: Water Resources Management, Vol. 27, No. 9, 01.07.2013, p. 3387-3407.

Research output: Contribution to journalReview article

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