A Genetic Algorithm Search for the Optimal Design of Water Distribution Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Genetic Algorithm Search for the Optimal Design of Water Distribution Systems PDF full book. Access full book title A Genetic Algorithm Search for the Optimal Design of Water Distribution Systems by L. J. Murphy. Download full books in PDF and EPUB format.
Author: L. J. Murphy
Publisher:
ISBN:
Category :
Languages : en
Pages : 830
Get Book Here
Book Description
Author: L. J. Murphy
Publisher:
ISBN:
Category :
Languages : en
Pages : 830
Get Book Here
Book Description
Author: Mohammed Elgorani A. Ali
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Pramod R. Bhave
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842651322
Category : Science
Languages : en
Pages : 472
Get Book Here
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: L. Murphy
Publisher:
ISBN:
Category : Water
Languages : en
Pages : 88
Get Book Here
Book Description
Author: Ramakar Jha
Publisher: Springer Nature
ISBN: 3030813584
Category : Science
Languages : en
Pages : 517
Get Book Here
Book Description
This book carefully considers hydrological models which are essential for predicting floods, droughts, soil moisture estimation, land use change detection, geomorphology and water structures. The book highlights recent advances in the area of hydrological modelling in the Ganga Basin and other internationally important river basins. The impact of climate change on water resources is a global concern. Water resources in many countries are already stressed, and climate change along with burgeoning population, rising standard of living and increasing demand are adding to the stress. Furthermore, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book. Integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport, and this book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.
Author: Manuel Alejandro Andrade-Rodriguez
Publisher:
ISBN:
Category :
Languages : en
Pages : 208
Get Book Here
Book Description
The burdensome capital cost of urban water distribution systems demands the use of efficient optimization methods capable of finding a relatively inexpensive design that guarantees a minimum functionality under all conditions of operation. The combinatorial and nonlinear nature of the optimization problem involved accepts no definitive method of solution. Adaptive search methods are well fitted for this type of problem (to which more formal methods cannot be applied), but their computational requirements demand the development and implementation of additional heuristics to find a satisfactory solution. This work seeks to employ adaptive search methods to enhance the search process used to find the optimal design of any water distribution system. A first study presented here introduces post-optimization heuristics that analyze the best design obtained by a genetic algorithm--arguably the most popular adaptive search method--and perform an ordered local search to maximize further cost savings. When used to analyze the best design found by a genetic algorithm, the proposed post-optimization heuristics method successfully achieved additional cost savings that the genetic algorithm failed to detect after an exhaustive search. The second study herein explores various ways to improve artificial neural networks employed as fast estimators of computationally intensive constraints. The study presents a new methodology for generating any large set of water supply networks to be used for the training of artificial neural networks. This dataset incorporates several distribution networks in the vicinity of the search space in which the genetic algorithm is expected to focus its search. The incorporation of these networks improved the accuracy of artificial neural networks trained with such a dataset. These neural networks consistently showed a lower margin of error than their counterparts trained with conventional training datasets populated by randomly generated distribution networks.
Author: Gerçek Güç
Publisher: LAP Lambert Academic Publishing
ISBN: 9783843382953
Category :
Languages : en
Pages : 100
Get Book Here
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: Prabhata K. Swamee
Publisher: John Wiley & Sons
ISBN: 0470225041
Category : Technology & Engineering
Languages : en
Pages : 373
Get Book Here
Book Description
This authoritative resource consolidates comprehensive information on the analysis and design of water supply systems into one practical, hands-on reference. After an introduction and explanation of the basic principles of pipe flows, it covers topics ranging from cost considerations to optimal water distribution design to various types of systems to writing water distribution programs. With numerous examples and closed-form design equations, this is the definitive reference for civil and environmental engineers, water supply managers and planners, and postgraduate students.
Author: Maheswaran Rathinasamy
Publisher: Springer
ISBN: 9811320446
Category : Science
Languages : en
Pages : 205
Get Book Here
Book Description
The book is a compilation of the papers presented in the International Conference on Emerging Trends in Water Resources and Environmental Engineering (ETWREE 2017). The high quality papers are written by research scholars and academicians of prestigious institutes across India. The book discusses the challenges of water management due to misuse or abuse of water resources and the ever mounting challenges on use, reuse and conservation of water. It also discusses issues of water resources such as water quantity, quality, management and planning for the benefits of water resource scientists, faculties, policy makers, stake holders working in the water resources planning and management. The research content discussed in the book will be helpful for engineers to solve practical day to day problems related to water and environmental engineering.
Author: Zong Woo Geem
Publisher: LAP Lambert Academic Publishing
ISBN: 9783838305837
Category :
Languages : en
Pages : 112
Get Book Here
Book Description
Traditional mathematical optimization methods, such as linear programming (LP), nonlinear programming (NLP) and dynamic programming (DP), often have drawbacks in practice. To overcome these drawbacks, various meta-heuristic optimization techniques have been developed. This study proposes a new meta- heuristic algorithm which mimics musical performance, and names as Harmony Search (HS). The HS algorithm is applied to five problems: a continuous function optimization, a hydrologic parameter calibration, a traveling salesman problem, an optimal design of water supply network, and an optimal expansion of water supply network. The comparison of solutions obtained by HS and other optimization techniques shows that the HS algorithm can find better solutions in less number of iterations. The new algorithm can solve continuous-variable problems as well as discrete- variable problems without unnecessary restrictions imposed by calculus-based algorithms.
