Optimum Real Time Operation of Reservoir Systems with Multiple Purposes PDF Download

Author: Juan José Victoria
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 266

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Author: Ralph Allen Wurbs
Publisher:
ISBN:
Category : Reservoirs
Languages : en
Pages : 100

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Magdalene Marinaki
Publisher: Springer Science & Business Media
ISBN: 9781852338947
Category : Technology & Engineering
Languages : en
Pages : 194

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A sine qua non of control system development for modern sewer networks is the preservation of the water system around a network’s outflow(s). Several approaches have been proposed for the optimisation of sewage control and Optimal Real-time Control of Sewer Networks provides a comparative synthesis of a central sewer network flow control based on two of these: nonlinear-optimal and multivariable-feedback control. Testing and comparison of these protocols are made on the basis of their control results for the large-scale sewer network located around the river Obere Iller in Bavaria. The control strategies implemented within this network are based on this study. From the selection of possible methods of control and moving to the implementation of those methods in a real sewer system, this monograph will be invaluable to control and civil engineers working in sewage flow and wastewater treatment and of interest to academics wishing to see how their ideas on optimal control work out when practically applied.

Author: Zdzisław Kaczmarek
Publisher:
ISBN:
Category : Reservoirs
Languages : en
Pages : 428

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Author: William John Trott
Publisher:
ISBN:
Category : Reservoirs
Languages : en
Pages : 304

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Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 838

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Author: Debashis De
Publisher: Springer Nature
ISBN: 9811521255
Category : Technology & Engineering
Languages : en
Pages : 346

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Book Description
This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.

Author: Larry W. Mays
Publisher: CRC Press
ISBN: 1351083651
Category : Science
Languages : en
Pages : 385

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"Combines the hydraulic simulation of physical processes with mathematical programming and differential dynamic programming techniques to ensure the optimization of hydrosystems. Presents the principles and methodologies for systems and optimal control concepts; features differential dynamic programming in developing models and solution algorithms for groundwater, real-time flood and sediment control of river-reservoir systems, and water distribution systems operations, as well as bay and estuary freshwater inflow reservoir oprations; and more."

Author: Samarjit Kar
Publisher: MDPI
ISBN: 3039211420
Category : Computers
Languages : en
Pages : 394

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Book Description
Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.