Journal ArticleDOI
Dynamic programming applications in water resources
TLDR
In this paper, the authors present a survey of dynamic programming models for water resource problems and examine computational techniques which have been used to obtain solutions to these problems, including aqueduct design, irrigation system control, project development, water quality maintenance, and reservoir operations analysis.Abstract:
The central intention of this survey is to review dynamic programming models for water resource problems and to examine computational techniques which have been used to obtain solutions to these problems. Problem areas surveyed here include aqueduct design, irrigation system control, project development, water quality maintenance, and reservoir operations analysis. Computational considerations impose severe limitation on the scale of dynamic programming problems which can be solved. Inventive numerical techniques for implementing dynamic programming have been applied to water resource problems. Discrete dynamic programming, differential dynamic programming, state incremental dynamic programming, and Howard's policy iteration method are among the techniques reviewed. Attempts have been made to delineate the successful applications, and speculative ideas are offered toward attacking problems which have not been solved satisfactorily.read more
Citations
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Journal ArticleDOI
Optimal Operation of Multireservoir Systems: State-of-the-Art Review
TL;DR: Application of heuristic programming methods using evolutionary and genetic algorithms are described, along with application of neural networks and fuzzy rule-based systems for inferring reservoir system operating rules, to assess the state of the art in optimization of reservoir system management and operations.
Journal ArticleDOI
Reservoir Management and Operations Models: A State‐of‐the‐Art Review
TL;DR: The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation, which include linear programming, dynamic programming, nonliner programming, and simulation.
Journal ArticleDOI
Operating rules for multireservoir systems
TL;DR: The use of genetic search algorithms to derive multireservoir operating policies using real‐valued vectors containing information needed to define both system release and individual reservoir storage volume targets as functions of total storage in each of multiple within‐year periods is proposed.
Journal ArticleDOI
Evolutionary algorithms and other metaheuristics in water resources
Holger R. Maier,Zoran Kapelan,Joseph R. Kasprzyk,Joshua B. Kollat,L. S. Matott,Maria da Conceição Cunha,Graeme C. Dandy,Matthew S. Gibbs,Edward Keedwell,Angela Marchi,Avi Ostfeld,Dragan Savic,Dimitri Solomatine,Jasper A. Vrugt,Aaron C. Zecchin,Barbara S. Minsker,Emily Barbour,George Kuczera,F. Pasha,Andrea Castelletti,Matteo Giuliani,Patrick M. Reed +21 more
TL;DR: Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts.
Journal ArticleDOI
Simulation-optimization modeling: a survey and potential application in reservoir systems operation.
TL;DR: Simulation, optimization and combined simulation–optimization modeling approach are discussed and an overview of their applications reported in literature is provided to help system managers decide appropriate methodology for application to their systems.
References
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Journal ArticleDOI
An Introduction to Probability Theory and Its Applications
David A. Freedman,William Feller +1 more
Book
Dynamic Programming
TL;DR: The more the authors study the information processing aspects of the mind, the more perplexed and impressed they become, and it will be a very long time before they understand these processes sufficiently to reproduce them.