Natural Computing for Simulation and Knowledge Discovery

Natural Computing for Simulation and Knowledge Discovery PDF

Author: Nunes de Castro, Leandro

Publisher: IGI Global

Published: 2013-07-31

Total Pages: 346

ISBN-13: 1466642548

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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.

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering PDF

Author: Chiong, Raymond

Publisher: IGI Global

Published: 2009-07-31

Total Pages: 450

ISBN-13: 1605667064

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Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.

International Symposium on Fuzzy Systems, Knowledge Discovery and Natural Computation (FSKD 2014)

International Symposium on Fuzzy Systems, Knowledge Discovery and Natural Computation (FSKD 2014) PDF

Author: Defu Zhang, Xiamen University, China

Publisher: DEStech Publications, Inc

Published: 2014-09-02

Total Pages: 657

ISBN-13: 1605951986

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ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

Natural Computing for Simulation-Based Optimization and Beyond

Natural Computing for Simulation-Based Optimization and Beyond PDF

Author: Silja Meyer-Nieberg

Publisher: Springer

Published: 2019-07-26

Total Pages: 60

ISBN-13: 3030262154

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This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery PDF

Author: Hongying Meng

Publisher: Springer Nature

Published: 2021-06-26

Total Pages: 1925

ISBN-13: 3030706656

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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, Fuzzy Systems and Knowledge Discovery

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery PDF

Author: Quan Xie

Publisher: Springer Nature

Published: 2022-01-04

Total Pages: 1454

ISBN-13: 3030896986

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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 can be 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 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.

Fuzzy Systems, Knowledge Discovery and Natural Computation Symposium

Fuzzy Systems, Knowledge Discovery and Natural Computation Symposium PDF

Author: Liangshan Shao

Publisher: DEStech Publications, Inc

Published: 2013-11-20

Total Pages: 560

ISBN-13: 1605951315

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The Fuzzy Systems, Knowledge Discovery, and Natural Computation Symposium (FSKDNC 2013) was successfully held from 24 to 25 July 2013, in Shenyang, China. The Symposium was a platform for authors to present their recent development on fuzzy systems, knowledge discovery, and natural computation (i.e., intelligent techniques inspired from nature, such as neural networks, genetic algorithms, and particle swarm optimization). The Symposium attracted numerous submissions from around the globe. Each submitted paper was rigorously reviewed by the program committee and additional reviewers based on originality, significance and quality of the research, clarity of the presentation, and relevance to the Symposium theme. 60 papers are included in the Symposium proceedings after the review process. The great efforts of the authors, the Organizing Committee members, the Program Committee members, and the additional reviewers are acknowledged here. The Symposium would not have been possible without the support from Liaoning Technical University. The professional and courteous staff from DEStech Publications, Inc also deserves special credits.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery PDF

Author: Ning Xiong

Publisher: Springer Nature

Published: 2023-01-29

Total Pages: 1527

ISBN-13: 3031207386

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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 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.

Natural Computing Algorithms

Natural Computing Algorithms PDF

Author: Anthony Brabazon

Publisher: Springer

Published: 2015-10-08

Total Pages: 554

ISBN-13: 3662436310

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The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

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