Handbook of Research on Natural Computing for Optimization Problems, VOL 1 PDF Download
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Author: Jyotsna Kumar Mandal
Publisher:
ISBN: 9781668428146
Category :
Languages : en
Pages : 674
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Book Description
Author: Jyotsna Kumar Mandal
Publisher:
ISBN: 9781668428146
Category :
Languages : en
Pages : 674
Get Book
Book Description
Author: Mandal, Jyotsna Kumar
Publisher: IGI Global
ISBN: 1522500596
Category : Computers
Languages : en
Pages : 1015
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Book Description
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.
Author: Jyotsna Kumar Mandal
Publisher: Information Science Reference
ISBN: 9781522500582
Category : Natural computation
Languages : en
Pages : 0
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Book Description
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.
Author: Ali Mohamed
Publisher: Springer Nature
ISBN: 3031075129
Category : Technology & Engineering
Languages : en
Pages : 282
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Book Description
The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.
Author: Rennard, Jean-Philippe
Publisher: IGI Global
ISBN: 1591409853
Category : Business & Economics
Languages : en
Pages : 1066
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Book Description
"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.
Author: Dash, Sujata
Publisher: IGI Global
ISBN: 152252858X
Category : Computers
Languages : en
Pages : 538
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Book Description
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 3030285537
Category : Technology & Engineering
Languages : en
Pages : 273
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Book Description
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.
Author: Shandilya, Shishir K.
Publisher: IGI Global
ISBN: 1522521291
Category : Computers
Languages : en
Pages : 627
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Book Description
Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.
Author: Carlos Coello Coello
Publisher: Springer Science & Business Media
ISBN: 364211217X
Category : Mathematics
Languages : en
Pages : 204
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Book Description
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Author: Mo, Hongwei
Publisher: IGI Global
ISBN: 1605663115
Category : Computers
Languages : en
Pages : 634
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Book Description
"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.
