Production Well Operations Optimization in Water Distribution System Using Genetic Algorithm PDF Download
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Author: Vineet Katiyar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Vineet Katiyar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Gerçek Güç
Publisher: LAP Lambert Academic Publishing
ISBN: 9783843382953
Category :
Languages : en
Pages : 100
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Book Description
This study gives a description about the development of a computer model, RealPipe, which relates genetic algorithm (GA) to the well known problem of least-cost design of water distribution network. GA methodology is an evolutionary process, basically imitating evolution process of nature. GA is essentially an efficient search method basically for nonlinear optimization cases. The genetic operations take place within the population of chromosomes. By means of various operators, the genetic knowledge in chromosomes change continuously and the success of the population progressively increases as a result of these operations. GA optimization is also well suited for optimization of water distribution systems, especially large and complex systems. The primary objective of this study is optimization of a water distribution network by GA. GA operations are realized on a special program developed by the author called RealPipe. RealPipe optimizes given water network distribution systems by considering capital cost of pipes only.
Author: Matthew S. Gibbs
Publisher:
ISBN:
Category : Genetic algorithms
Languages : en
Pages : 374
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Book Description
"The management of Water Distribution Systems (WDSs) involves making decisions about various operations in the network, including the scheduling of pump operations and setting of disinfectant dosing rates. Optimisation methods known as Genetic Algorithms (GAs) have been successfully adopted to assist in determining the best possible solutions to WDS optimisation problems for a number of years. The result from the work undertaken in this thesis is a complete GA calibration methodology. Two methodologies are proposed and evaluated in this thesis, one that considers the selection pressure based on the characteristics of the fitness function, and another that is derived from the time to convergence based on genetic drift, and therefore does not require any information about the fitness function characteristics. The proposed methodologies have been compared against other GA calibration methodologies that have been proposed, as well as typical parameter values to determine the most suitable method to determine the GA parameter values. The comparison of the different calibration approaches demonstrates three main results: 1. that the proposed methodology produced the best results out of the different GA calibration methods compared; 2. that the proposed methodology can be applied in practice; and 3. that a correctly calibrated GA is very beneficial when solutions are required in a limited timeframe." -- From abstract.
Author: Tobias A. Bloch
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Water distributions systems generally do not operate at or their optimal points. The operational procedures of these systems should be reworked to make them more economically efficient. The ability to optimize (i.e., for economic efficiency) the operation of water distribution systems is hindered by the dimensionally (i.e., many different subsystems to optimize simultaneously) inherent in these systems. This is especially true for small time steps, pumping systems utilizing multiple pumps and distribution networks with multiple storage tanks. A branch of computer science called Genetic Algorithms has been shown to be very effective for optimizing complex systems. Genetic Algorithms are utilized in Two computer programs developed in this thesis. These programs were tested against simple water distribution systems and produced optimal solutions in a very short period of time. The architecture (i.e., program structure) for future computer programs that are based on the platform created in this thesis is also presented. These proposed versions should be useful in the optimization of large water distribution systems, something which has never been possible before.
Author: Mitsuo Gen
Publisher: John Wiley & Sons
ISBN: 9780471315315
Category : Technology & Engineering
Languages : en
Pages : 520
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Book Description
Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)
Author: Elizabeth Stuart Gibson
Publisher:
ISBN:
Category : Drinking water
Languages : en
Pages : 134
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Book Description
Author: Pramod R. Bhave
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842651322
Category : Science
Languages : en
Pages : 472
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Book Description
Design of water distribution networks is traditionally based on trial-and-approach in which the designer assumes, based on experience and judgment, sizes of different elements and successively modifies them until a network with satisfactory hydraulic performance is obtained. This text covers: Essential hydraulic, economic optimization principles. Theory is developed gradually for optimal design of simple, single-source branched networks subjected to single loading to complex, multiple-source looped networks subjected to multiple loading. Strengthening and expansion of existing networks and also reliability-based design. Several illustrative examples enabling the reader to apply them in practice- approximately 100 line drawings.
Author: Hoai An Le Thi
Publisher: Springer
ISBN: 331918167X
Category : Technology & Engineering
Languages : en
Pages : 497
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Book Description
This proceedings set contains 85 selected full papers presentedat the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11–13, 2015 at Lorraine University, France. The present part II of the 2 volume set includes articles devoted to Data analysis and Data mining, Heuristic / Meta heuristic methods for operational research applications, Optimization applied to surveillance and threat detection, Maintenance and Scheduling, Post Crises banking and eco-finance modelling, Transportation, as well as Technologies and methods for multi-stakeholder decision analysis in public settings.
Author: J.H.W. Lee
Publisher: CRC Press
ISBN: 148226286X
Category : Science
Languages : en
Pages : 2342
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Book Description
This two-volume set, with cd-rom, comprises the Proceedings of the 4th International Symposium on Environmental Hydraulics & the 14th Congress of Asia and Pacific Division, International Association of Hydraulic Engineering and Research held in December 2004 in Hong Kong. Volume 1 covers the selected papers presented at the 4th Internation
Author: Ibrahim H. Osman
Publisher: Springer Science & Business Media
ISBN: 1461313619
Category : Business & Economics
Languages : en
Pages : 676
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Book Description
Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.
