Recent Advances In Natural Computing

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Nature-Inspired Optimization Algorithms

Author : Aditya Khamparia
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311067615X
Total Pages : 201 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Aditya Khamparia

Download or read book Nature-Inspired Optimization Algorithms written by Aditya Khamparia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Recent Advances in Natural Computing

Author : Yasuhiro Suzuki
Publisher :
ISBN 13 : 9784431551065
Total Pages : 142 pages
Book Rating : 4.5/5 (51 download)

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Book Synopsis Recent Advances in Natural Computing by : Yasuhiro Suzuki

Download or read book Recent Advances in Natural Computing written by Yasuhiro Suzuki and published by . This book was released on 2014-08-31 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Natural Computing

Author : Yasuhiro Suzuki
Publisher : Springer
ISBN 13 : 4431554297
Total Pages : 118 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Recent Advances in Natural Computing by : Yasuhiro Suzuki

Download or read book Recent Advances in Natural Computing written by Yasuhiro Suzuki and published by Springer. This book was released on 2015-07-31 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing, and educational technology. It presents extended versions of the best papers selected from the “8th International Workshop on Natural Computing” (IWNC8), a symposium held in Hiroshima, Japan, in 2014. The target audience is not limited to researchers working in natural computing but also includes those active in biological engineering, fine/media art design, aesthetics, and philosophy.

Recent Advances in Natural Computing

Author : Yasuhiro Suzuki
Publisher : Springer
ISBN 13 : 4431551050
Total Pages : 132 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Recent Advances in Natural Computing by : Yasuhiro Suzuki

Download or read book Recent Advances in Natural Computing written by Yasuhiro Suzuki and published by Springer. This book was released on 2014-07-29 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing and educational technology. It presents extended versions of the best papers selected from the symposium “7th International Workshop on Natural Computing” (IWNC7), held in Tokyo, Japan, in 2013. The target audience is not limited to researchers working in natural computing but also those active in biological engineering, fine/media art design, aesthetics and philosophy.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Author : Yong Liu
Publisher : Springer Nature
ISBN 13 : 3030325911
Total Pages : 1119 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by : Yong Liu

Download or read book Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery written by Yong Liu and published by Springer Nature. This book was released on 2019-11-06 with total page 1119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

Recent Developments in Biologically Inspired Computing

Author : Leandro N. De Castro
Publisher : IGI Global
ISBN 13 : 9781591403128
Total Pages : 460 pages
Book Rating : 4.4/5 (31 download)

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Book Synopsis Recent Developments in Biologically Inspired Computing by : Leandro N. De Castro

Download or read book Recent Developments in Biologically Inspired Computing written by Leandro N. De Castro and published by IGI Global. This book was released on 2005-01-01 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

Handbook of Research on Natural Computing for Optimization Problems

Author : Mandal, Jyotsna Kumar
Publisher : IGI Global
ISBN 13 : 1522500596
Total Pages : 1015 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Natural Computing for Optimization Problems by : Mandal, Jyotsna Kumar

Download or read book Handbook of Research on Natural Computing for Optimization Problems written by Mandal, Jyotsna Kumar and published by IGI Global. This book was released on 2016-05-25 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Recent Advances in Natural Computing

Author : Yasuhiro Suzuki
Publisher : Springer
ISBN 13 : 9784431554646
Total Pages : 150 pages
Book Rating : 4.5/5 (546 download)

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Book Synopsis Recent Advances in Natural Computing by : Yasuhiro Suzuki

Download or read book Recent Advances in Natural Computing written by Yasuhiro Suzuki and published by Springer. This book was released on 2020-06-08 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing and educational technology. Especially, it focuses the recent progress in the Molecular Robotics Project in Japan. This book presents extended versions of the best papers selected from the symposium “9th International Workshop on Natural Computing” (IWNC9), held in Shizuoka, Japan, in 2015. The target audience is not limited to researchers working in natural computing but also those active in biological engineering, fine/media art design, aesthetics and philosophy.

Natural Computing for Unsupervised Learning

Author : Xiangtao Li
Publisher : Springer
ISBN 13 : 3319985663
Total Pages : 273 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Natural Computing for Unsupervised Learning by : Xiangtao Li

Download or read book Natural Computing for Unsupervised Learning written by Xiangtao Li and published by Springer. This book was released on 2018-10-31 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning. Includes advances on unsupervised learning using natural computing techniques Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms

Nature-Inspired Optimization Algorithms

Author : Aditya Khamparia
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110676117
Total Pages : 168 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Aditya Khamparia

Download or read book Nature-Inspired Optimization Algorithms written by Aditya Khamparia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Advances in Natural Computation

Author : Li-cheng Jiao
Publisher : Springer Science & Business Media
ISBN 13 : 3540459073
Total Pages : 1037 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Natural Computation by : Li-cheng Jiao

Download or read book Advances in Natural Computation written by Li-cheng Jiao and published by Springer Science & Business Media. This book was released on 2006 with total page 1037 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation. This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Author : Yong Liu
Publisher : Springer Nature
ISBN 13 : 3030324567
Total Pages : 1004 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by : Yong Liu

Download or read book Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery written by Yong Liu and published by Springer Nature. This book was released on 2019-11-06 with total page 1004 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

Natural Computing for Simulation and Knowledge Discovery

Author : Nunes de Castro, Leandro
Publisher : IGI Global
ISBN 13 : 1466642548
Total Pages : 326 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Natural Computing for Simulation and Knowledge Discovery by : Nunes de Castro, Leandro

Download or read book Natural Computing for Simulation and Knowledge Discovery written by Nunes de Castro, Leandro and published by IGI Global. This book was released on 2013-07-31 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature has long provided the inspiration for a variety of scientific discoveries in engineering, biomedicine, and computing, though only recently have these elements of nature been used directly in computational systems. Natural Computing for Simulation and Knowledge Discovery investigates the latest developments in nature-influenced technologies. Within its pages, readers will find an in-depth analysis of such advances as cryptographic solutions based on cell division, the creation and manipulation of biological computers, and particle swarm optimization techniques. Scientists, practitioners, and students in fields such as computing, mathematics, and molecular science will make use of this essential reference to explore current trends in natural computation and advance nature-inspired technologies to the next generation.

Computing Nature

Author : Gordana Dodig-Crnkovic
Publisher : Springer Science & Business Media
ISBN 13 : 3642372252
Total Pages : 268 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computing Nature by : Gordana Dodig-Crnkovic

Download or read book Computing Nature written by Gordana Dodig-Crnkovic and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about nature considered as the totality of physical existence, the universe, and our present day attempts to understand it. If we see the universe as a network of networks of computational processes at many different levels of organization, what can we learn about physics, biology, cognition, social systems, and ecology expressed through interacting networks of elementary particles, atoms, molecules, cells, (and especially neurons when it comes to understanding of cognition and intelligence), organs, organisms and their ecologies? Regarding our computational models of natural phenomena Feynman famously wondered: “Why should it take an infinite amount of logic to figure out what one tiny piece of space/time is going to do?” Phenomena themselves occur so quickly and automatically in nature. Can we learn how to harness nature’s computational power as we harness its energy and materials? This volume includes a selection of contributions from the Symposium on Natural Computing/Unconventional Computing and Its Philosophical Significance, organized during the AISB/IACAP World Congress 2012, held in Birmingham, UK, on July 2-6, on the occasion of the centenary of Alan Turing’s birth. In this book, leading researchers investigated questions of computing nature by exploring various facets of computation as we find it in nature: relationships between different levels of computation, cognition with learning and intelligence, mathematical background, relationships to classical Turing computation and Turing’s ideas about computing nature - unorganized machines and morphogenesis. It addresses questions of information, representation and computation, interaction as communication, concurrency and agent models; in short this book presents natural computing and unconventional computing as extension of the idea of computation as symbol manipulation.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Author : Hongying Meng
Publisher : Springer Nature
ISBN 13 : 3030706656
Total Pages : 1925 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by : Hongying Meng

Download or read book Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery written by Hongying Meng and published by Springer Nature. This book was released on 2021-06-26 with total page 1925 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.

Advances in Natural Computation

Author : Licheng Jiao
Publisher : Springer
ISBN 13 : 3540459022
Total Pages : 1030 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Natural Computation by : Licheng Jiao

Download or read book Advances in Natural Computation written by Licheng Jiao and published by Springer. This book was released on 2006-09-28 with total page 1030 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.

Design by Evolution

Author : Philip F. Hingston
Publisher : Springer Science & Business Media
ISBN 13 : 3540741119
Total Pages : 352 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Design by Evolution by : Philip F. Hingston

Download or read book Design by Evolution written by Philip F. Hingston and published by Springer Science & Business Media. This book was released on 2008-09-30 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight, to the design of complex optical systems such as the mammalian eye, to the merely stunningly beautiful designs of orchids or birds of paradise. With increasing computational power, we are now able to simulate this process with greater fidelity, combining complex simulations with high-performance evolutionary algorithms to tackle problems that used to be impractical. This book showcases the state of the art in evolutionary algorithms for design. The chapters are organized by experts in the following fields: evolutionary design and "intelligent design" in biology, art, computational embryogeny, and engineering. The book will be of interest to researchers, practitioners and graduate students in natural computing, engineering design, biology and the creative arts.