Author: Kwok-wing Chau
Publisher: MDPI
ISBN: 3038423262
Category : Science
Languages : en
Pages : 259
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Book Description
This book is a printed edition of the Special Issue "Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling" that was published in Water
Author: Huijuan Cui
Publisher: MDPI
ISBN: 3038972223
Category : Technology & Engineering
Languages : en
Pages : 512
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Book Description
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Rényi, Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.
Author: Junguo Liu
Publisher: Frontiers Media SA
ISBN: 2832545165
Category : Science
Languages : en
Pages : 135
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Book Description
Water plays an essential role in the development and functioning of a city, but could also be a key risk factor for urban pluvial flooding, which may occur more frequently in the context of future climate change. The traditional means of flood risk management relied heavily on engineering measures, or the use of “gray” infrastructure. Recently, there has been a call to integrate nature-based solutions (NBS), which make use of natural processes and ecosystem services, with conventional engineering approaches. NBS infrastructures and designs pay great attention to ecosystem services considerations in assessing their induced hydrological processes, as well as in managing the stormwater and mitigating urban flood and droughts. Nevertheless, compared with grey infrastructure, larger space could be demanded for NBS, while the buffer effect for NBS in extremes events is still uncertain for evaluation.
Author: Kuok King Kuok
Publisher: Cambridge Scholars Publishing
ISBN: 1036408051
Category : Science
Languages : en
Pages : 231
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Book Description
This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. The book covers the theoretical foundations, models and methods, structure, frameworks and analysis of applying novel ANNs in hydrology. It starts with the introduction of ANNs as a black box model, followed by the coupling of various metaheuristic algorithms with ANNs to form novel neural network models for solving real-world problems in hydrology, including Particle Swarm Optimization (PSO) for rainfall-runoff modeling, Bat Optimization (Bat) and Cuckoo Search Optimization (CSO) for future rainfall prediction, the Whale Optimization Algorithm (WOA) and Salp Swarm Optimization (SSO) for future water level prediction, Grey Wolf Optimization (GWO), Multi-Verse Optimization (MVO), the Sine Cosine Algorithm (SCA) and the Hybrid Sine Cosine and Fitness Dependent Optimizer (SC-FDO) for imputing missing rainfall data.
Author: International Centre for Water Security and Sustainable Management
Publisher: UNESCO Publishing
ISBN: 923100641X
Category : Political Science
Languages : en
Pages : 259
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Book Description
Author: Qiuhong Tang
Publisher: Cambridge University Press
ISBN: 1108479839
Category : Business & Economics
Languages : en
Pages : 503
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Book Description
A comprehensive interdisciplinary exploration of climate risks to water security for students, researchers, civil and environmental engineers, and management professionals.
Author: Xin-She Yang
Publisher: Newnes
ISBN: 0123983797
Category : Technology & Engineering
Languages : en
Pages : 577
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Book Description
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 commonly 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 structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. - Review of the latest development of metaheuristics in engineering. - Detailed algorithm descriptions with focus on practical implementation. - Uses practical case studies as examples and applications.
Author: Kasthurirangan Gopalakrishnan
Publisher: Elsevier Inc. Chapters
ISBN: 0128066261
Category : Technology & Engineering
Languages : en
Pages : 33
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Book Description
Author: Vasant, Pandian M.
Publisher: IGI Global
ISBN: 1466620870
Category : Computers
Languages : en
Pages : 735
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Book Description
Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.
Author: Kim, Dookie
Publisher: IGI Global
ISBN: 1522547673
Category : Technology & Engineering
Languages : en
Pages : 644
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Book Description
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
