Nature Inspired Computation and Swarm Intelligence

Nature Inspired Computation and Swarm Intelligence
Author: Xin-She Yang
Publsiher: Academic Press
Total Pages: 442
Release: 2020-04-24
ISBN 10: 0128197145
ISBN 13: 9780128197141
Language: EN, FR, DE, ES & NL

Nature Inspired Computation and Swarm Intelligence Book Review:

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

Nature Inspired Computing and Optimization

Nature Inspired Computing and Optimization
Author: Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
Publsiher: Springer
Total Pages: 494
Release: 2017-03-07
ISBN 10: 3319509209
ISBN 13: 9783319509204
Language: EN, FR, DE, ES & NL

Nature Inspired Computing and Optimization Book Review:

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.

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
Author: Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publsiher: Newnes
Total Pages: 450
Release: 2013-05-16
ISBN 10: 0124051774
ISBN 13: 9780124051775
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Bio Inspired Computation Book Review:

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Nature Inspired Optimization Algorithms

Nature Inspired Optimization Algorithms
Author: Xin-She Yang
Publsiher: Elsevier
Total Pages: 300
Release: 2014-02-17
ISBN 10: 0124167454
ISBN 13: 9780124167452
Language: EN, FR, DE, ES & NL

Nature Inspired Optimization Algorithms Book Review:

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

Nature Inspired Computation and Swarm Intelligence

Nature Inspired Computation and Swarm Intelligence
Author: Xin-She Yang
Publsiher: Academic Press
Total Pages: 442
Release: 2020-04-09
ISBN 10: 0128226099
ISBN 13: 9780128226094
Language: EN, FR, DE, ES & NL

Nature Inspired Computation and Swarm Intelligence Book Review:

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

Nature Inspired Computation in Data Mining and Machine Learning

Nature Inspired Computation in Data Mining and Machine Learning
Author: Xin-She Yang,Xing-Shi He
Publsiher: Springer Nature
Total Pages: 273
Release: 2019-09-03
ISBN 10: 3030285537
ISBN 13: 9783030285531
Language: EN, FR, DE, ES & NL

Nature Inspired Computation in Data Mining and Machine Learning Book Review:

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.

Applied Optimization and Swarm Intelligence

Applied Optimization and Swarm Intelligence
Author: Eneko Osaba,Xin-She Yang
Publsiher: Springer Nature
Total Pages: 229
Release: 2021-05-17
ISBN 10: 9811606625
ISBN 13: 9789811606625
Language: EN, FR, DE, ES & NL

Applied Optimization and Swarm Intelligence Book Review:

This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.

Nature Inspired Computing Concepts Methodologies Tools and Applications

Nature Inspired Computing  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1780
Release: 2016-07-26
ISBN 10: 1522507892
ISBN 13: 9781522507895
Language: EN, FR, DE, ES & NL

Nature Inspired Computing Concepts Methodologies Tools and Applications Book Review:

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 Data Science

Nature Inspired Computing for Data Science
Author: Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Publsiher: Springer Nature
Total Pages: 295
Release: 2019-11-26
ISBN 10: 3030338207
ISBN 13: 9783030338206
Language: EN, FR, DE, ES & NL

Nature Inspired Computing for Data Science Book Review:

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.

Metaheuristic Optimization Nature Inspired Algorithms Swarm and Computational Intelligence Theory and Applications

Metaheuristic Optimization  Nature Inspired Algorithms Swarm and Computational Intelligence  Theory and Applications
Author: Modestus O. Okwu,Lagouge K. Tartibu
Publsiher: Springer Nature
Total Pages: 192
Release: 2020-11-13
ISBN 10: 3030611116
ISBN 13: 9783030611118
Language: EN, FR, DE, ES & NL

Metaheuristic Optimization Nature Inspired Algorithms Swarm and Computational Intelligence Theory and Applications Book Review:

This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.

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
Author: Chiong, Raymond
Publsiher: IGI Global
Total Pages: 450
Release: 2009-07-31
ISBN 10: 1605667064
ISBN 13: 9781605667065
Language: EN, FR, DE, ES & NL

Nature Inspired Informatics for Intelligent Applications and Knowledge Discovery Implications in Business Science and Engineering Book Review:

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.

Nature Inspired Algorithms and Applications

Nature Inspired Algorithms and Applications
Author: S. Balamurugan,Dinesh Goyal,Anupriya Jain,Sachin Sharma,Sonia Duggal,Seema Sharma
Publsiher: John Wiley & Sons
Total Pages: 370
Release: 2021-12-09
ISBN 10: 111968174X
ISBN 13: 9781119681748
Language: EN, FR, DE, ES & NL

Nature Inspired Algorithms and Applications Book Review:

The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide.

Nature Inspired Computation in Engineering

Nature Inspired Computation in Engineering
Author: Xin-She Yang
Publsiher: Springer
Total Pages: 276
Release: 2016-03-19
ISBN 10: 3319302353
ISBN 13: 9783319302355
Language: EN, FR, DE, ES & NL

Nature Inspired Computation in Engineering Book Review:

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Handbook of Research on Soft Computing and Nature Inspired Algorithms

Handbook of Research on Soft Computing and Nature Inspired Algorithms
Author: Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
Publsiher: IGI Global
Total Pages: 627
Release: 2017-03-10
ISBN 10: 1522521291
ISBN 13: 9781522521297
Language: EN, FR, DE, ES & NL

Handbook of Research on Soft Computing and Nature Inspired Algorithms Book Review:

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 Computation and Applications in Image Processing

Bio Inspired Computation and Applications in Image Processing
Author: Xin-She Yang,João Paulo Papa
Publsiher: Academic Press
Total Pages: 374
Release: 2016-08-09
ISBN 10: 012804537X
ISBN 13: 9780128045374
Language: EN, FR, DE, ES & NL

Bio Inspired Computation and Applications in Image Processing Book Review:

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications

Nature Inspired Computing

Nature Inspired Computing
Author: Nazmul H. Siddique,Hojjat Adeli
Publsiher: CRC Press
Total Pages: 596
Release: 2017-05-19
ISBN 10: 1482244837
ISBN 13: 9781482244830
Language: EN, FR, DE, ES & NL

Nature Inspired Computing Book Review:

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.

Nature inspired Methods for Stochastic Robust and Dynamic Optimization

Nature inspired Methods for Stochastic  Robust and Dynamic Optimization
Author: Javier Del Ser Lorente,Eneko Osaba
Publsiher: BoD – Books on Demand
Total Pages: 70
Release: 2018-07-18
ISBN 10: 1789233283
ISBN 13: 9781789233285
Language: EN, FR, DE, ES & NL

Nature inspired Methods for Stochastic Robust and Dynamic Optimization Book Review:

Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.

Bio Inspired Computation in Telecommunications

Bio Inspired Computation in Telecommunications
Author: Xin-She Yang,Su Fong Chien,T.O. Ting
Publsiher: Morgan Kaufmann
Total Pages: 348
Release: 2015-02-11
ISBN 10: 0128017430
ISBN 13: 9780128017432
Language: EN, FR, DE, ES & NL

Bio Inspired Computation in Telecommunications Book Review:

Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
Author: Xin-She Yang,Mehmet Karamanoglu
Publsiher: Elsevier Inc. Chapters
Total Pages: 450
Release: 2013-05-16
ISBN 10: 0128068876
ISBN 13: 9780128068878
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Bio Inspired Computation Book Review:

Swarm intelligence (SI) and bio-inspired computing in general have attracted great interest in almost every area of science, engineering, and industry over the last two decades. In this chapter, we provide an overview of some of the most widely used bio-inspired algorithms, especially those based on SI such as cuckoo search, firefly algorithm, and particle swarm optimization. We also analyze the essence of algorithms and their connections to self-organization. Furthermore, we highlight the main challenging issues associated with these metaheuristic algorithms with in-depth discussions. Finally, we provide some key, open problems that need to be addressed in the next decade.

Nature Inspired Computing Paradigms in Systems

Nature Inspired Computing Paradigms in Systems
Author: Mohamed Arezki Mellal,Michael G. Pecht
Publsiher: Academic Press
Total Pages: 144
Release: 2021-06-18
ISBN 10: 0128237503
ISBN 13: 9780128237502
Language: EN, FR, DE, ES & NL

Nature Inspired Computing Paradigms in Systems Book Review:

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