Metaheuristics in Water Geotechnical and Transport Engineering

Produk Detail:
  • Author : Xin-She Yang
  • Publisher : Newnes
  • Pages : 484 pages
  • ISBN : 0123982960
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Metaheuristics in Water Geotechnical and Transport Engineering

Download or Read online Metaheuristics in Water Geotechnical and Transport Engineering full in PDF, ePub and kindle. this book written by Xin-She Yang and published by Newnes which was released on 11 August 2022 with total page 484 pages. We cannot guarantee that Metaheuristics in Water Geotechnical and Transport Engineering book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Metaheuristics in Water Geotechnical and Transport Engineering

Metaheuristics in Water  Geotechnical and Transport Engineering
  • Author : Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi
  • Publisher : Newnes
  • Release : 11 August 2022
GET THIS BOOK Metaheuristics in Water Geotechnical and Transport Engineering

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

Metaheuristic Applications in Structures and Infrastructures

Metaheuristic Applications in Structures and Infrastructures
  • Author : Amir Hossein Gandomi,Xin-She Yang,Siamak Talatahari,Amir Hossein Alavi
  • Publisher : Newnes
  • Release : 31 January 2013
GET THIS BOOK Metaheuristic Applications in Structures and Infrastructures

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

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions
  • Author : Francesco Silvestri,Nicola Moraci
  • Publisher : CRC Press
  • Release : 22 October 2019
GET THIS BOOK Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions contains invited, keynote and theme lectures and regular papers presented at the 7th International Conference on Earthquake Geotechnical Engineering (Rome, Italy, 17-20 June 2019. The contributions deal with recent developments and advancements as well as case histories, field monitoring, experimental characterization, physical and analytical modelling, and applications related to the variety of environmental phenomena induced by earthquakes in soils and their effects on engineered systems interacting with them. The book

Handbook of Genetic Programming Applications

Handbook of Genetic Programming Applications
  • Author : Amir H. Gandomi,Amir H. Alavi,Conor Ryan
  • Publisher : Springer
  • Release : 06 November 2015
GET THIS BOOK Handbook of Genetic Programming Applications

This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume

Advances in Structural Engineering Optimization

Advances in Structural Engineering   Optimization
  • Author : Sinan Melih Nigdeli,Gebrail Bekdaş,Aylin Ece Kayabekir,Melda Yucel
  • Publisher : Springer Nature
  • Release : 04 December 2020
GET THIS BOOK Advances in Structural Engineering Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in

Applications of Flower Pollination Algorithm and its Variants

Applications of Flower Pollination Algorithm and its Variants
  • Author : Nilanjan Dey
  • Publisher : Springer Nature
  • Release : 17 March 2021
GET THIS BOOK Applications of Flower Pollination Algorithm and its Variants

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model

Automation and Computational Intelligence for Road Maintenance and Management

Automation and Computational Intelligence for Road Maintenance and Management
  • Author : Hamzeh Zakeri,Fereidoon Moghadas Nejad,Amir H. Gandomi
  • Publisher : John Wiley & Sons
  • Release : 13 July 2022
GET THIS BOOK Automation and Computational Intelligence for Road Maintenance and Management

Automation and Computational Intelligence for Road Maintenance and Management A comprehensive computational intelligence toolbox for solving problems in infrastructure management In Automation and Computational Intelligence for Road Maintenance and Management, a team of accomplished researchers delivers an incisive reference that covers the latest developments in computer technology infrastructure management. The book contains an overview of foundational and emerging technologies and methods in both automation and computational intelligence, as well as detailed presentations of specific methodologies. The distinguished authors emphasize the

Sustainable Infrastructure Breakthroughs in Research and Practice

Sustainable Infrastructure  Breakthroughs in Research and Practice
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 01 November 2019
GET THIS BOOK Sustainable Infrastructure Breakthroughs in Research and Practice

The continued growth of any nation depends largely on the development of their built infrastructures and communities. By creating stable infrastructures, countries can more easily thrive in competitive international markets. Sustainable Infrastructure: Breakthroughs in Research and Practice examines sustainable development through the lens of transportation, waste management, land use planning, and governance. Highlighting a range of topics such as sustainable development, transportation planning, and regional and urban infrastructure planning, this publication is an ideal reference source for engineers, planners, government

Big Data in Engineering Applications

Big Data in Engineering Applications
  • Author : Sanjiban Sekhar Roy,Pijush Samui,Ravinesh Deo,Stavros Ntalampiras
  • Publisher : Springer
  • Release : 02 May 2018
GET THIS BOOK Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume,

New Materials in Civil Engineering

New Materials in Civil Engineering
  • Author : Pijush Samui,Dookie Kim,Nagesh R. Iyer,Sandeep Chaudhary
  • Publisher : Butterworth-Heinemann
  • Release : 07 July 2020
GET THIS BOOK New Materials in Civil Engineering

New Materials in Civil Engineering provides engineers and scientists with the tools and methods needed to meet the challenge of designing and constructing more resilient and sustainable infrastructures. This book is a valuable guide to the properties, selection criteria, products, applications, lifecycle and recyclability of advanced materials. It presents an A-to-Z approach to all types of materials, highlighting their key performance properties, principal characteristics and applications. Traditional materials covered include concrete, soil, steel, timber, fly ash, geosynthetic, fiber-reinforced concrete, smart

Computational Intelligence for Water and Environmental Sciences

Computational Intelligence for Water and Environmental Sciences
  • Author : Omid Bozorg-Haddad,Babak Zolghadr-Asli
  • Publisher : Springer Nature
  • Release : 09 August 2022
GET THIS BOOK Computational Intelligence for Water and Environmental Sciences

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

Nature Inspired Computation in Data Mining and Machine Learning

Nature Inspired Computation in Data Mining and Machine Learning
  • Author : Xin-She Yang,Xing-Shi He
  • Publisher : Springer Nature
  • Release : 03 September 2019
GET THIS BOOK Nature Inspired Computation in Data Mining and Machine Learning

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning

Modeling and Simulation of Environmental Systems

Modeling and Simulation of Environmental Systems
  • Author : Satya Prakash Maurya,Akhilesh Kumar Yadav,Ramesh Singh
  • Publisher : CRC Press
  • Release : 01 September 2022
GET THIS BOOK Modeling and Simulation of Environmental Systems

This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies

Handbook of Research on Smart Computing for Renewable Energy and Agro Engineering

Handbook of Research on Smart Computing for Renewable Energy and Agro Engineering
  • Author : Kharchenko, Valeriy,Vasant, Pandian
  • Publisher : IGI Global
  • Release : 06 December 2019
GET THIS BOOK Handbook of Research on Smart Computing for Renewable Energy and Agro Engineering

The rise in population and the concurrently growing consumption rate necessitates the evolution of agriculture to adopt current computational technologies to increase production at a faster and smoother scale. While existing technologies may help in crop processing, there is a need for studies that seek to understand how modern approaches like artificial intelligence, fuzzy logic, and hybrid algorithms can aid the agricultural process while utilizing energy sources efficiently. The Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering