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Metaheuristic Algorithms and Neural Networks in Hydrology

2024-08-28 Science
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Release : 2024-08-28
Genre : Science
Kind : eBook
Book Rating : 051/5 ( reviews)

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Book Synopsis Metaheuristic Algorithms and Neural Networks in Hydrology by : Kuok King Kuok

Download or read book Metaheuristic Algorithms and Neural Networks in Hydrology written by Kuok King Kuok. This book was released on 2024-08-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

2021-11-12 Science
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Release : 2021-11-12
Genre : Science
Kind : eBook
Book Rating : 209/5 ( reviews)

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Book Synopsis Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management by : Ozgur Kisi

Download or read book Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management written by Ozgur Kisi. This book was released on 2021-11-12. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.

Metaheuristics in Water, Geotechnical and Transport Engineering

2012-12-31 Mathematics
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Release : 2012-12-31
Genre : Mathematics
Kind : eBook
Book Rating : 177/5 ( reviews)

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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. This book was released on 2012-12-31. 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

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

2018-07-10 Science
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Release : 2018-07-10
Genre : Science
Kind : eBook
Book Rating : 262/5 ( reviews)

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Book Synopsis Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling by : Kwok-wing Chau

Download or read book Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling written by Kwok-wing Chau. This book was released on 2018-07-10. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling" that was published in Water

Computational Intelligence for Water and Environmental Sciences

2022-07-08 Technology & Engineering
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Release : 2022-07-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 194/5 ( reviews)

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Book Synopsis Computational Intelligence for Water and Environmental Sciences by : Omid Bozorg-Haddad

Download or read book Computational Intelligence for Water and Environmental Sciences written by Omid Bozorg-Haddad. This book was released on 2022-07-08. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.

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