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Optimizing Groundwater Remediation Designs Using Dynamic Meta Models And Genetic Algorithms
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Book Synopsis Optimizing Groundwater Remediation Designs Using Dynamic Meta-Models and Genetic Algorithms by : Shengquan Yan
Download or read book Optimizing Groundwater Remediation Designs Using Dynamic Meta-Models and Genetic Algorithms written by Shengquan Yan and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hydroinformatics written by Praveen Kumar and published by CRC Press. This book was released on 2005-11-02 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approache
Book Synopsis Proceedings of the International Conference of Steel and Composite for Engineering Structures by : Roberto Capozucca
Download or read book Proceedings of the International Conference of Steel and Composite for Engineering Structures written by Roberto Capozucca and published by Springer Nature. This book was released on 2023-01-30 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the latest developments in the field of steel and composite for engineering applications, as presented at the International Conference on Steel and Composite for Engineering Structures (ICSCES), held in Ancona, Italy on September 12-13, 2022. It covers interest topics like control and vibration, damage in composite materials, fracture and damage mechanics, construction management, damage tolerance, safety, security, and reliability, big data analytics, topology optimization and artificial intelligence, mechanical and material engineering, structural health monitoring, computer-aided design and manufacturing, crack initiation and propagation, performance and optimization, computational fracture mechanics, inverse problem, non-destructive testing, signal processing, artificial intelligence. It serves as a reference work for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.
Book Synopsis Optimal Groundwater Remediation System Design with Well Locations Selected as Decision Variables by : Mustafa M. Aral
Download or read book Optimal Groundwater Remediation System Design with Well Locations Selected as Decision Variables written by Mustafa M. Aral and published by . This book was released on 1997 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Metaheuristics in Water, Geotechnical and Transport Engineering by : Xin-She Yang
Download or read book Metaheuristics in Water, Geotechnical and Transport Engineering written by Xin-She Yang and published by Newnes. This book was released on 2012-09 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work
Book Synopsis Multiscale Parallel Genetic Algorithms for Optimal Groundwater Remediation Design by : Meghna Babbar
Download or read book Multiscale Parallel Genetic Algorithms for Optimal Groundwater Remediation Design written by Meghna Babbar and published by . This book was released on 2002 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Groundwater Remediation Optimization Using Artificial Neural Networks by :
Download or read book Groundwater Remediation Optimization Using Artificial Neural Networks written by and published by . This book was released on 1998 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: One continuing point of research in optimizing groundwater quality management is reduction of computational burden which is particularly limiting in field-scale applications. Often evaluation of a single pumping strategy, i.e. one call to the groundwater flow and transport model (GFTM) may take several hours on a reasonably fast workstation. For computational flexibility and efficiency, optimal groundwater remediation design at Lawrence Livermore National Laboratory (LLNL) has relied on artificial neural networks (ANNS) trained to approximate the outcome of 2-D field-scale, finite difference/finite element GFTMs. The search itself has been directed primarily by the genetic algorithm (GA) or the simulated annealing (SA) algorithm. This approach has advantages of (1) up to a million fold increase in speed of remediation pattern assessment during the searches and sensitivity analyses for the 2-D LLNL work, (2) freedom from sequential runs of the GFTM (enables workstation farming), and (3) recycling of the knowledge base (i.e. runs of the GFTM necessary to train the ANNS). Reviewed here are the background and motivation for such work, recent applications, and continuing issues of research.
Book Synopsis Optimal Design of Groundwater in Situ Bioremediation Using Evolutionary Algorithms by : Jae-Heung Yoon
Download or read book Optimal Design of Groundwater in Situ Bioremediation Using Evolutionary Algorithms written by Jae-Heung Yoon and published by . This book was released on 1997 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nature-Inspired Computation in Engineering by : Xin-She Yang
Download or read book Nature-Inspired Computation in Engineering written by Xin-She Yang and published by Springer. This book was released on 2016-03-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.
Book Synopsis Which are Better, Probabalistic Model Building Genetic Algorithms (PMBGAS) Or Simple Genetic Algorithms (SGAS)? a Comparison for an Optimal Groundwater Remediation Design Problem by : Rachel Eileen Arst
Download or read book Which are Better, Probabalistic Model Building Genetic Algorithms (PMBGAS) Or Simple Genetic Algorithms (SGAS)? a Comparison for an Optimal Groundwater Remediation Design Problem written by Rachel Eileen Arst and published by . This book was released on 2002 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm by :
Download or read book Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1992 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative computational approach for the optimization of groundwater remediation is presented which uses artificial neural networks (ANNs) and the genetic algorithm (GA). In this approach, the ANN is trained to predict an aspect of the outcome of a flow and transport simulation. Then the GA searches through realizations or patterns of pumping and uses the trained network to predict the outcome of the realizations. This approach has advantages of parallel processing of the groundwater simulations and the ability to ''recycle'' or reuse the base of knowledge formed by these simulations. These advantages offer reduction of computational burden of the groundwater simulations relative to a more conventional approach which uses nonlinear programming (NLP) with a quasi-newtonian search. Also the modular nature of this approach facilitates substitution of different groundwater simulation models.
Book Synopsis Dynamic Optimal Control of Groundwater Remediation with Management Periods by : Teresa Birnbaum Culver
Download or read book Dynamic Optimal Control of Groundwater Remediation with Management Periods written by Teresa Birnbaum Culver and published by . This book was released on 1991 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm by :
Download or read book Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1993 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a new approach for field-scale nonlinear management of groundwater remediation. First, an artificial neural network (ANN) is trained to predict the outcome of a groundwater transport simulation. Then a genetic algorithm (GA) searches through possible pumping realizations, evaluating the fitness of each with a prediction from the trained ANN. Traditional approaches rely on optimization algorithms requiring sequential calls of the groundwater transport simulation. Our approach processes the transport simulations in parallel and ''recycles'' the knowledge base of these simulations, greatly reducing the computational and real-time burden, often the primary impediment to developing field-scale management models. We present results from a Superfund site suggesting that such management techniques can reduce cleanup costs by over a hundred million dollars.
Book Synopsis Physicochemical Groundwater Remediation by : James A. Smith
Download or read book Physicochemical Groundwater Remediation written by James A. Smith and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we transition into the 21st century, it is apparent that this is an exciting time for environmental engineers and scientists studying remediation technologies. There has been a rapid development of new ways to clean-up polluted groundwater. Research activities of the past and next 10 years will have a dramatic impact on the quality of the subsurface environment for the next century. In 20, or even 10 years from now, our approach to subsurface remediation will probably be vastly different than it is today. Many of the emerging technologies presented in this book will form the basis of standard remediation practices of the future. Physicochemical Groundwater Remediation presents detailed information on multiple emerging technologies for the remediation of the contaminated subsurface environment. All of these technologies apply our knowledge of physical and chemical processes to clean up ground water and the unsaturated zone, and many (if not all) of these emerging technologies will help define standard practices in the future. These technologies include in situ sorptive and reactive treatment walls, surfactant-enhanced aquifer remediation, optimization analyses for remediation system design, chemical, electrochemical, and biochemical remediation processes, and monitored natural attenuation. You will learn how palladium catalyzes the dehalogenation of chlorinated solvents. You will find out how barometric pumping can naturally remove significant quantities of volatile organic pollutants from shallow ground water and the unsaturated zone. You can learn about mobilizing non-aqueous phase liquids (NAPLs) without risking significant downward migration of the NAPL. You can find out how processes such as electroosmosis and electromigration can be exploited for groundwater remediation purposes and how zero-valent iron and zeolite treatment walls can be used in situ to treat and control contaminant plume migration. Contributors to this book are experts in groundwater remediation processes, and they represent industry, consulting, academia, and government. If your work involves the clean up of contaminated soil and groundwater, this book is an essential reference to keep you up to date on the most promising new developments in remediation research.
Book Synopsis Nature-Inspired Methods for Metaheuristics Optimization by : Fouad Bennis
Download or read book Nature-Inspired Methods for Metaheuristics Optimization written by Fouad Bennis and published by Springer Nature. This book was released on 2020-01-17 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Book Synopsis A Self-adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design by : Felipe Patricio Espinoza
Download or read book A Self-adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design written by Felipe Patricio Espinoza and published by . This book was released on 2003 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of Genetic Algorithms for Groundwater Remediation Design by : Amy B. Chan Hilton
Download or read book Development of Genetic Algorithms for Groundwater Remediation Design written by Amy B. Chan Hilton and published by . This book was released on 2000 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: