Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Handbook Of Research On Natural Computing For Optimization Problems Vol 1 PDF full book. Access full book title Handbook Of Research On Natural Computing For Optimization Problems Vol 1.
| Author | : Jyotsna Kumar Mandal |
| Publisher | : |
| Total Pages | : 674 |
| Release | : 2016-05-19 |
| Genre | : |
| ISBN | : 9781668428146 |
| Author | : Mandal, Jyotsna Kumar |
| Publisher | : IGI Global |
| Total Pages | : 1015 |
| Release | : 2016-05-25 |
| Genre | : Computers |
| ISBN | : 1522500596 |
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 |
| Total Pages | : 0 |
| Release | : 2016 |
| Genre | : Natural computation |
| ISBN | : 9781522500582 |
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 |
| Total Pages | : 282 |
| Release | : 2022-08-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3031075129 |
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 |
| Total Pages | : 1066 |
| Release | : 2006-09-30 |
| Genre | : Business & Economics |
| ISBN | : 1591409853 |
"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 |
| Total Pages | : 538 |
| Release | : 2017-08-10 |
| Genre | : Computers |
| ISBN | : 152252858X |
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 |
| Total Pages | : 273 |
| Release | : 2019-09-03 |
| Genre | : Technology & Engineering |
| ISBN | : 3030285537 |
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 |
| Total Pages | : 627 |
| Release | : 2017-03-10 |
| Genre | : Computers |
| ISBN | : 1522521291 |
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 | : Frank Neumann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 215 |
| Release | : 2010-11-04 |
| Genre | : Mathematics |
| ISBN | : 3642165443 |
Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.
| Author | : Carlos Coello Coello |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 204 |
| Release | : 2010-02-04 |
| Genre | : Mathematics |
| ISBN | : 364211217X |
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.
