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Swarm Intelligence

Author : James Haywood Rolling, Jr.
Publisher : St. Martin's Press
ISBN 13 : 1137401516
Total Pages : 256 pages
Book Rating : 4.1/5 (374 download)

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Book Synopsis Swarm Intelligence by : James Haywood Rolling, Jr.

Download or read book Swarm Intelligence written by James Haywood Rolling, Jr. and published by St. Martin's Press. This book was released on 2013-11-26 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies and organizations everywhere cite creativity as the most desirable - and elusive - leadership quality of the future. Yet scores measuring creativity among American children have been on the wane for decades. A specialist in creative leadership, professor James Haywood Rolling, Jr. knows firsthand that the classroom is a key to either unlocking or blocking the critical imagination. He argues that today's schools, with their focus on rote learning and test-taking, work to stymie creativity, leaving children cut off from their natural impulses and boxed in by low expectations. Drawing on cutting-edge research in the realms of biological swarm theory, systems theory, and complexity theory, Rolling shows why group collaboration and adaptive social networking make us both smarter and more creative, and how we can design education and workplace practices around these natural principles, instead of pushing a limited focus on individual achievement that serves neither children nor their future colleagues, managers and mentors. The surprising truth is that the future will be pioneered by the collective problem-solvers, making Swarm Intelligence a must-read for business leaders, educators, and anyone else concerned with nurturing creative intelligence and innovative habits in today's youth.

Swarm Learning

Author : Jamie Schwandt
Publisher :
ISBN 13 : 9781792406331
Total Pages : pages
Book Rating : 4.4/5 (63 download)

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Book Synopsis Swarm Learning by : Jamie Schwandt

Download or read book Swarm Learning written by Jamie Schwandt and published by . This book was released on 2020-08-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Swarm Intelligence

Author : Felix Chan
Publisher : BoD – Books on Demand
ISBN 13 : 3902613092
Total Pages : 550 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Swarm Intelligence by : Felix Chan

Download or read book Swarm Intelligence written by Felix Chan and published by BoD – Books on Demand. This book was released on 2007-12-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

Swarm Intelligence Methods for Statistical Regression

Author : Soumya Mohanty
Publisher : CRC Press
ISBN 13 : 1351365029
Total Pages : 80 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Swarm Intelligence Methods for Statistical Regression by : Soumya Mohanty

Download or read book Swarm Intelligence Methods for Statistical Regression written by Soumya Mohanty and published by CRC Press. This book was released on 2018-12-14 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large data volume that must be handled in Big Data applications further increases the difficulty of these problems. Swarm Intelligence Methods for Statistical Regression describes methods from the field of computational swarm intelligence (SI), and how they can be used to overcome the optimization bottleneck encountered in statistical analysis. Features Provides a short, self-contained overview of statistical data analysis and key results in stochastic optimization theory Focuses on methodology and results rather than formal proofs Reviews SI methods with a deeper focus on Particle Swarm Optimization (PSO) Uses concrete and realistic data analysis examples to guide the reader Includes practical tips and tricks for tuning PSO to extract good performance in real world data analysis challenges

Swarm Intelligence

Author : Eric Bonabeau
Publisher : Oxford University Press
ISBN 13 : 0190208198
Total Pages : 322 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Swarm Intelligence by : Eric Bonabeau

Download or read book Swarm Intelligence written by Eric Bonabeau and published by Oxford University Press. This book was released on 1999-09-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

Swarm Intelligence

Author : Christian Blum
Publisher : Springer Science & Business Media
ISBN 13 : 3540740899
Total Pages : 284 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Swarm Intelligence by : Christian Blum

Download or read book Swarm Intelligence written by Christian Blum and published by Springer Science & Business Media. This book was released on 2008-09-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book’s contributing authors are among the top researchers in swarm intelligence. The book is intended to provide an overview of the subject to novices, and to offer researchers an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Author : Serkan Kiranyaz
Publisher : Springer Science & Business Media
ISBN 13 : 3642378463
Total Pages : 321 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition by : Serkan Kiranyaz

Download or read book Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition written by Serkan Kiranyaz and published by Springer Science & Business Media. This book was released on 2013-07-16 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach. After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.

Swarm Intelligence

Author : Aboul Ella Hassanien
Publisher : CRC Press
ISBN 13 : 149874107X
Total Pages : 210 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Swarm Intelligence by : Aboul Ella Hassanien

Download or read book Swarm Intelligence written by Aboul Ella Hassanien and published by CRC Press. This book was released on 2018-09-03 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then: Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design Details the similarities, differences, weaknesses, and strengths of each swarm optimization method Draws parallels between the operators and searching manners of the different algorithms Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB® package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.

Applied Optimization and Swarm Intelligence

Author : Eneko Osaba
Publisher : Springer Nature
ISBN 13 : 9811606625
Total Pages : 236 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Applied Optimization and Swarm Intelligence by : Eneko Osaba

Download or read book Applied Optimization and Swarm Intelligence written by Eneko Osaba and published by Springer Nature. This book was released on 2021-05-17 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Swarm Intelligence and Deep Evolution

Author : Hitoshi Iba
Publisher : CRC Press
ISBN 13 : 1000579905
Total Pages : 288 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Swarm Intelligence and Deep Evolution by : Hitoshi Iba

Download or read book Swarm Intelligence and Deep Evolution written by Hitoshi Iba and published by CRC Press. This book was released on 2022-04-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning, i.e., deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning, and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI, based on the ideas of swarm intelligence and evolution is also covered. The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained, with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology, and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution, the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs, and provides a variety of examples so that the readers will be able to create and understand AI.

Swarm Intelligence and Bio-Inspired Computation

Author : Xin-She Yang
Publisher : Newnes
ISBN 13 : 0124051774
Total Pages : 450 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Swarm Intelligence and Bio-Inspired Computation by : Xin-She Yang

Download or read book Swarm Intelligence and Bio-Inspired Computation written by Xin-She Yang and published by Newnes. This book was released on 2013-05-16 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Swarm Intelligence

Author : Bijaya Ketan Panigrahi
Publisher : Springer Science & Business Media
ISBN 13 : 364217390X
Total Pages : 544 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Handbook of Swarm Intelligence by : Bijaya Ketan Panigrahi

Download or read book Handbook of Swarm Intelligence written by Bijaya Ketan Panigrahi and published by Springer Science & Business Media. This book was released on 2011-02-04 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques. In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe. It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization algorithm (BFOA), honey bee social foraging algorithms, and harmony search (HS). With chapters describing various applications of SI techniques in real-world engineering problems, this handbook can be a valuable resource for researchers and practitioners, giving an in-depth flavor of what SI is capable of achieving.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319618245
Total Pages : 639 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer. This book was released on 2017-07-18 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.

Swarm Intelligence and Machine Learning

Author : Shikha Agarwal
Publisher : CRC Press
ISBN 13 : 1000737616
Total Pages : 228 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Swarm Intelligence and Machine Learning by : Shikha Agarwal

Download or read book Swarm Intelligence and Machine Learning written by Shikha Agarwal and published by CRC Press. This book was released on 2022-09-29 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Swarm Intelligence Optimization

Author : Abhishek Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119778743
Total Pages : 384 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Swarm Intelligence Optimization by : Abhishek Kumar

Download or read book Swarm Intelligence Optimization written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2021-01-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Critical Developments and Applications of Swarm Intelligence

Author : Shi, Yuhui
Publisher : IGI Global
ISBN 13 : 1522551352
Total Pages : 478 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Critical Developments and Applications of Swarm Intelligence by : Shi, Yuhui

Download or read book Critical Developments and Applications of Swarm Intelligence written by Shi, Yuhui and published by IGI Global. This book was released on 2018-02-28 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial intelligence creates a field of research in which the natural and the artificial meet in a new and innovative way. Critical Developments and Applications of Swarm Intelligence is a critical academic publication that examines developing research, technologies, and function regarding natural and artificial acumen specifically, in regards to self-organized systems. Featuring coverage on a broad range of topics such as evolutionary algorithms, optimization techniques, and computational comparison, this book is geared toward academicians, students, researchers, and engineers seeking relevant and current research on the progressive research based on the implementation of swarm intelligence in self-organized systems.

Swarm Intelligence

Author : Marco Dorigo
Publisher : Springer Nature
ISBN 13 : 3031201760
Total Pages : 395 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Swarm Intelligence by : Marco Dorigo

Download or read book Swarm Intelligence written by Marco Dorigo and published by Springer Nature. This book was released on 2022-10-28 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Conference on Swarm Intelligence, ANTS 2022, held in Málaga, Spain, in November 2022. The 19 full papers presented, together with 14 short papers and 4 extended abstracts were carefully reviewed and selected from 45 submissions. ANTS 2022 contributions are dealing with any aspect of swarm intelligence such as behavioral models of social insects, empirical and theoretical research in swarm intelligence, application of swarm intelligence methods, and much more.