Metaheuristics in Water  Geotechnical and Transport Engineering Book

Metaheuristics in Water Geotechnical and Transport Engineering


  • Author : Xin-She Yang
  • Publisher : Newnes
  • Release Date : 2012-09
  • Genre: Mathematics
  • Pages : 503
  • ISBN 10 : 9780123982964

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Metaheuristics in Water Geotechnical and Transport Engineering 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

Metaheuristic Applications in Structures and Infrastructures Book

Metaheuristic Applications in Structures and Infrastructures


  • Author : Amir Hossein Gandomi
  • Publisher : Newnes
  • Release Date : 2013-01-31
  • Genre: Technology & Engineering
  • Pages : 568
  • ISBN 10 : 9780123983794

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Metaheuristic Applications in Structures and Infrastructures 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 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.

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization Book

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization


  • Author : Ali Kaveh
  • Publisher : Springer Nature
  • Release Date : 2022-09-17
  • Genre: Technology & Engineering
  • Pages : 369
  • ISBN 10 : 9783031134296

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Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization Excerpt :

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book. The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to be of interest to a wide range of engineers and students who deal with engineering optimization problems.

Handbook of Genetic Programming Applications Book

Handbook of Genetic Programming Applications


  • Author : Amir H. Gandomi
  • Publisher : Springer
  • Release Date : 2015-11-06
  • Genre: Computers
  • Pages : 593
  • ISBN 10 : 9783319208831

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Handbook of Genetic Programming Applications Excerpt :

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 can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.

Advances in Structural Engineering   Optimization Book

Advances in Structural Engineering Optimization


  • Author : Sinan Melih Nigdeli
  • Publisher : Springer Nature
  • Release Date : 2020-12-04
  • Genre: Technology & Engineering
  • Pages : 310
  • ISBN 10 : 9783030618483

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Advances in Structural Engineering Optimization Excerpt :

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 generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Applications of Flower Pollination Algorithm and its Variants Book

Applications of Flower Pollination Algorithm and its Variants


  • Author : Nilanjan Dey
  • Publisher : Springer Nature
  • Release Date : 2021-03-17
  • Genre: Technology & Engineering
  • Pages : 239
  • ISBN 10 : 9789813361041

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Applications of Flower Pollination Algorithm and its Variants Excerpt :

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 of FPA is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, FPA has attracted attention of researchers, who are working to find the optimal solutions in variety of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization, and linear/nonlinear optimization problems. Along with the traditional bat algorithm, the enhanced versions of FPA are also considered to solve a variety of optimization problems in science, engineering, and medical applications.

Sustainable Infrastructure  Breakthroughs in Research and Practice Book

Sustainable Infrastructure Breakthroughs in Research and Practice


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2019-11-01
  • Genre: Technology & Engineering
  • Pages : 1044
  • ISBN 10 : 9781799809494

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Sustainable Infrastructure Breakthroughs in Research and Practice Excerpt :

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 officials, developers, policymakers, legislators, researchers, academicians, and graduate-level students seeking current research on the latest trends in sustainable infrastructure.

Automation and Computational Intelligence for Road Maintenance and Management Book
Score: 5
From 1 Ratings

Automation and Computational Intelligence for Road Maintenance and Management


  • Author : Hamzeh Zakeri
  • Publisher : John Wiley & Sons
  • Release Date : 2022-07-13
  • Genre: Computers
  • Pages : 548
  • ISBN 10 : 9781119800644

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Automation and Computational Intelligence for Road Maintenance and Management Excerpt :

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 most recent advances in the maintenance and management of infrastructure robotics, automated inspection, remote sensing, and the applications of new and emerging computing technologies, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, knowledge discovery and engineering, and more. Automation and Computational Intelligence for Road Maintenance and Management explores a universal synthesis of the cutting edge in parameters and indices to evaluate models. It also includes: Thorough introductions to management science and the latest methods of automation and the structure and framework of automation and computing intelligence Comprehensive explorations of advanced image processing techniques, recent advances in fuzzy, and diagnosis automation Practical discussions of segmentation and fragmentation and different types of features and feature extraction methods In-depth examinations of methods of classification along with various developed methodologies and models of quantification, evaluation, and indexing in automation Perfect for postgraduate students in road and transportation engineering, evaluation, and assessment, Automation and Computational Intelligence for Road Maintenance and Management will also earn a place in the libraries of researchers interested in or working with the evaluati

Computational Intelligence for Water and Environmental Sciences Book

Computational Intelligence for Water and Environmental Sciences


  • Author : Omid Bozorg-Haddad
  • Publisher : Springer Nature
  • Release Date : 2022-08-09
  • Genre: Technology & Engineering
  • Pages : 540
  • ISBN 10 : 9789811925191

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Computational Intelligence for Water and Environmental Sciences 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.

Nature Inspired Computation in Data Mining and Machine Learning Book

Nature Inspired Computation in Data Mining and Machine Learning


  • Author : Xin-She Yang
  • Publisher : Springer Nature
  • Release Date : 2019-09-03
  • Genre: Technology & Engineering
  • Pages : 273
  • ISBN 10 : 9783030285531

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Nature Inspired Computation in Data Mining and Machine Learning Excerpt :

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 algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Modeling and Simulation of Environmental Systems Book

Modeling and Simulation of Environmental Systems


  • Author : Satya Prakash Maurya
  • Publisher : CRC Press
  • Release Date : 2022-09-01
  • Genre: Mathematics
  • Pages : 372
  • ISBN 10 : 9781000626636

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Modeling and Simulation of Environmental Systems Excerpt :

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 focusing on a holistic management approach at the global level for environmental practitioners. Features: Covers computational approaches as applied to problems of air and water pollution domain. Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms. Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches. Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations. Provides a pathway for real-time implementation of complex modeling problem formulations including case studies. This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.

Advances in Neural Networks     ISNN 2019 Book

Advances in Neural Networks ISNN 2019


  • Author : Huchuan Lu
  • Publisher : Springer
  • Release Date : 2019-06-26
  • Genre: Computers
  • Pages : 483
  • ISBN 10 : 9783030227968

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Advances in Neural Networks ISNN 2019 Excerpt :

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Recent Developments in Metaheuristics Book

Recent Developments in Metaheuristics


  • Author : Lionel Amodeo
  • Publisher : Springer
  • Release Date : 2017-09-18
  • Genre: Business & Economics
  • Pages : 496
  • ISBN 10 : 9783319582535

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Recent Developments in Metaheuristics Excerpt :

This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.

Water Management and Sustainability in Asia Book

Water Management and Sustainability in Asia


  • Author : Nor Eliza Alias
  • Publisher : Emerald Group Publishing
  • Release Date : 2021-07-12
  • Genre: Technology & Engineering
  • Pages : 224
  • ISBN 10 : 9781800711143

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Water Management and Sustainability in Asia Excerpt :

Water Management and Sustainability in Asia covers topics related to water resources management, including multi- and interdisciplinary research on flood, soil infiltration, contaminants, sediment, water quality, hydrological modelling, and water resources systems.

Intelligent and Safe Computer Systems in Control and Diagnostics Book

Intelligent and Safe Computer Systems in Control and Diagnostics


  • Author : ZdzisĹ‚aw Kowalczuk
  • Publisher : Springer Nature
  • Release Date : 2023
  • Genre: Artificial intelligence
  • Pages : 456
  • ISBN 10 : 9783031161599

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Intelligent and Safe Computer Systems in Control and Diagnostics Excerpt :

The main subject matter of the book is related to the demands of research and industrial centers for diagnostics, monitoring, and decision-making systems that result from the increasing complexity of automation and systems, the need to ensure the highest level of reliability and safety, and continuing research and the development of innovative approaches to fault diagnosis. Most welcome are combinations of domains of engineering knowledge for diagnosis, including detection, isolation, localization, identification, reconfiguration, and fault-tolerant control. This field is open to new challenges, including industrial diagnostics, diagnostics of computer systems and networks, as well as non-industrial applications in the form of medical diagnostics, especially those based on artificial intelligence and deep neural networks. Our community is mainly interested in the following six topics: (i) fault detection, isolation, and identification (FDI); (ii) fault-tolerant control systems; (iii) process safety, quality, and reliability; (iv) medical diagnostics; as well as (v) methodologies based on mathematical modeling, parameter identification and state estimation, qualitative models, statistical and signal processing, artificial intelligence, fuzzy logic and rough sets, expert systems, neural networks; and (vi) industrial applications of diagnostics in fault-tolerant problems, safety, monitoring and alarming, quality control, computer systems and networks, diagnostic software, software reliability, medicine and therapy, environment protection, production control, and other industries such as chemistry, electronics, and power systems. The book is divided into six parts: (I) Artificial Intelligence in Medicine; (II) Cybersecurity; (III) Artificial Neural Networks; (IV) Fault Detection; (V) Systems Modeling; and (VI) Adaptive, Robust and FTC Systems.