Nature Inspired Computing

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Nature-Inspired Computing and Optimization

Author : Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
Publisher : Springer
Page : 494 pages
File Size : 40,5 Mb
Release : 2017-03-07
Category : Technology & Engineering
ISBN : 9783319509204

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Nature-Inspired Computing and Optimization by Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu Pdf

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Nature Inspired Computing for Data Science

Author : Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Publisher : Springer Nature
Page : 303 pages
File Size : 43,8 Mb
Release : 2019-11-26
Category : Computers
ISBN : 9783030338206

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Nature Inspired Computing for Data Science by Minakhi Rout,Jitendra Kumar Rout,Himansu Das Pdf

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Nature-Inspired Computing

Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : CRC Press
Page : 596 pages
File Size : 47,5 Mb
Release : 2017-05-19
Category : Computers
ISBN : 9781482244830

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Nature-Inspired Computing by Nazmul H. Siddique,Hojjat Adeli Pdf

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Applications of Nature-Inspired Computing in Renewable Energy Systems

Author : Mellal, Mohamed Arezki
Publisher : IGI Global
Page : 326 pages
File Size : 53,7 Mb
Release : 2021-12-17
Category : Technology & Engineering
ISBN : 9781799885634

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Applications of Nature-Inspired Computing in Renewable Energy Systems by Mellal, Mohamed Arezki Pdf

Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Nature-Inspired Computing Paradigms in Systems

Author : Mohamed Arezki Mellal,Michael G. Pecht
Publisher : Academic Press
Page : 146 pages
File Size : 50,8 Mb
Release : 2021-06-18
Category : Computers
ISBN : 9780128237502

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Nature-Inspired Computing Paradigms in Systems by Mohamed Arezki Mellal,Michael G. Pecht Pdf

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability. Provides the latest review Covers various nature-inspired techniques applied to RAMS+C and PHM problems Includes techniques applied to new applications

Nature-Inspired Computation and Swarm Intelligence

Author : Xin-She Yang
Publisher : Academic Press
Page : 442 pages
File Size : 54,7 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9780128197141

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Nature-Inspired Computation and Swarm Intelligence by Xin-She Yang Pdf

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Handbook of Nature-Inspired and Innovative Computing

Author : Albert Y. Zomaya
Publisher : Springer Science & Business Media
Page : 758 pages
File Size : 46,6 Mb
Release : 2006-01-10
Category : Computers
ISBN : 0387405321

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Handbook of Nature-Inspired and Innovative Computing by Albert Y. Zomaya Pdf

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Handbook of Research on Nature-Inspired Computing for Economics and Management

Author : Rennard, Jean-Philippe
Publisher : IGI Global
Page : 1066 pages
File Size : 48,5 Mb
Release : 2006-09-30
Category : Business & Economics
ISBN : 9781591409854

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Handbook of Research on Nature-Inspired Computing for Economics and Management by Rennard, Jean-Philippe Pdf

"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.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1780 pages
File Size : 50,5 Mb
Release : 2016-07-26
Category : Computers
ISBN : 9781522507895

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Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Nature-Inspired Computing for Smart Application Design

Author : Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
Publisher : Springer Nature
Page : 287 pages
File Size : 47,8 Mb
Release : 2021-03-17
Category : Technology & Engineering
ISBN : 9789813361959

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Nature-Inspired Computing for Smart Application Design by Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal Pdf

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Machine Nature

Author : Moshe Sipper
Publisher : McGraw-Hill Companies
Page : 280 pages
File Size : 55,6 Mb
Release : 2002
Category : Business & Economics
ISBN : UOM:39015055458163

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Machine Nature by Moshe Sipper Pdf

Computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead.

Nature-Inspired Algorithms and Applications

Author : S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 44,7 Mb
Release : 2021-12-14
Category : Computers
ISBN : 9781119681748

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Nature-Inspired Algorithms and Applications by S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma Pdf

NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Inspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide. Among the subjects of the 12 chapters are: A novel method based on TRIZ to map real-world problems to nature problems Applications of cuckoo search algorithm for optimization problems Performance analysis of nature-inspired algorithms in breast cancer diagnosis Nature-inspired computation in data mining Hybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image data Efficiency of finding best solutions through ant colony optimization techniques Applications of hybridized algorithms and novel algorithms in the field of machine learning. Audience: Researchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
Publisher : IGI Global
Page : 627 pages
File Size : 53,8 Mb
Release : 2017-03-10
Category : Computers
ISBN : 9781522521297

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Handbook of Research on Soft Computing and Nature-Inspired Algorithms by Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K. Pdf

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.

Bio-Inspired and Nanoscale Integrated Computing

Author : Mary Mehrnoosh Eshaghian-Wilner
Publisher : John Wiley & Sons
Page : 573 pages
File Size : 45,8 Mb
Release : 2009-09-22
Category : Technology & Engineering
ISBN : 9780470429976

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Bio-Inspired and Nanoscale Integrated Computing by Mary Mehrnoosh Eshaghian-Wilner Pdf

Brings the latest advances in nanotechnology and biology to computing This pioneering book demonstrates how nanotechnology can create even faster, denser computing architectures and algorithms. Furthermore, it draws from the latest advances in biology with a focus on bio-inspired computing at the nanoscale, bringing to light several new and innovative applications such as nanoscale implantable biomedical devices and neural networks. Bio-Inspired and Nanoscale Integrated Computing features an expert team of interdisciplinary authors who offer readers the benefit of their own breakthroughs in integrated computing as well as a thorough investigation and analyses of the literature. Carefully edited, the book begins with an introductory chapter providing a general overview of the field. It ends with a chapter setting forth the common themes that tie the chapters together as well as a forecast of emerging avenues of research. Among the important topics addressed in the book are modeling of nano devices, quantum computing, quantum dot cellular automata, dielectrophoretic reconfigurable nano architectures, multilevel and three-dimensional nanomagnetic recording, spin-wave architectures and algorithms, fault-tolerant nanocomputing, molecular computing, self-assembly of supramolecular nanostructures, DNA nanotechnology and computing, nanoscale DNA sequence matching, medical nanorobotics, heterogeneous nanostructures for biomedical diagnostics, biomimetic cortical nanocircuits, bio-applications of carbon nanotubes, and nanoscale image processing. Readers in electrical engineering, computer science, and computational biology will gain new insights into how bio-inspired and nanoscale devices can be used to design the next generation of enhanced integrated circuits.

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Elsevier
Page : 300 pages
File Size : 40,9 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm