Swarm Intelligence

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Swarm Intelligence

Felix Chan,Manoj Tiwari
Swarm Intelligence Book PDF

Author : Felix Chan,Manoj Tiwari
Publisher : BoD – Books on Demand
Page : 550 pages
File Size : 44,6 Mb
Release : 2007-12-01
Category : Computers
ISBN : 9783902613097

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Swarm Intelligence by Felix Chan,Manoj Tiwari Pdf

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

James Haywood Rolling, Jr.
Swarm Intelligence Book PDF

Author : James Haywood Rolling, Jr.
Publisher : St. Martin's Press
Page : 256 pages
File Size : 48,5 Mb
Release : 2013-11-26
Category : Business & Economics
ISBN : 9781137401519

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Swarm Intelligence by James Haywood Rolling, Jr. Pdf

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 Intelligence

Eric Bonabeau,Marco Dorigo,Guy Theraulaz
Swarm Intelligence Book PDF

Author : Eric Bonabeau,Marco Dorigo,Guy Theraulaz
Publisher : Oxford University Press
Page : 320 pages
File Size : 45,7 Mb
Release : 1999-09-23
Category : Computers
ISBN : 9780198030157

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Swarm Intelligence by Eric Bonabeau,Marco Dorigo,Guy Theraulaz Pdf

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

Aboul Ella Hassanien,Eid Emary
Swarm Intelligence Book PDF

Author : Aboul Ella Hassanien,Eid Emary
Publisher : CRC Press
Page : 210 pages
File Size : 55,5 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781498741071

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Swarm Intelligence by Aboul Ella Hassanien,Eid Emary Pdf

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.

Swarm Intelligence

Christian Blum,Daniel Merkle
Swarm Intelligence Book PDF

Author : Christian Blum,Daniel Merkle
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 50,8 Mb
Release : 2008-09-24
Category : Computers
ISBN : 9783540740896

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Swarm Intelligence by Christian Blum,Daniel Merkle Pdf

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.

Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publisher : Newnes
Page : 450 pages
File Size : 50,7 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780124051775

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Swarm Intelligence and Bio-Inspired Computation by Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu Pdf

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.

Applied Optimization and Swarm Intelligence

Eneko Osaba,Xin-She Yang
Applied Optimization and Swarm Intelligence Book PDF

Author : Eneko Osaba,Xin-She Yang
Publisher : Springer Nature
Page : 236 pages
File Size : 46,9 Mb
Release : 2021-05-17
Category : Technology & Engineering
ISBN : 9789811606625

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Applied Optimization and Swarm Intelligence by Eneko Osaba,Xin-She Yang Pdf

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 Methods for Statistical Regression

Soumya Mohanty
Swarm Intelligence Methods for Statistical Regression Book PDF

Author : Soumya Mohanty
Publisher : CRC Press
Page : 80 pages
File Size : 41,5 Mb
Release : 2018-12-14
Category : Business & Economics
ISBN : 9781351365024

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Swarm Intelligence Methods for Statistical Regression by Soumya Mohanty Pdf

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 Optimization

Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Swarm Intelligence Optimization Book PDF

Author : Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 44,7 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781119778745

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Swarm Intelligence Optimization by Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal Pdf

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.

Handbook of Swarm Intelligence

Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim
Handbook of Swarm Intelligence Book PDF

Author : Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 50,6 Mb
Release : 2011-02-04
Category : Technology & Engineering
ISBN : 9783642173905

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Handbook of Swarm Intelligence by Bijaya Ketan Panigrahi,Yuhui Shi,Meng-Hiot Lim Pdf

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.

Multi-objective Swarm Intelligence

Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjaya Panda
Multi objective Swarm Intelligence Book PDF

Author : Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjaya Panda
Publisher : Springer
Page : 201 pages
File Size : 45,9 Mb
Release : 2015-03-10
Category : Technology & Engineering
ISBN : 9783662463093

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Multi-objective Swarm Intelligence by Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjaya Panda Pdf

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.

Evolutionary and Swarm Intelligence Algorithms

Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal
Evolutionary and Swarm Intelligence Algorithms Book PDF

Author : Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal
Publisher : Springer
Page : 190 pages
File Size : 41,5 Mb
Release : 2018-06-06
Category : Technology & Engineering
ISBN : 9783319913414

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Evolutionary and Swarm Intelligence Algorithms by Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal Pdf

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Evolutionary Computation & Swarm Intelligence

Fabio Caraffini,Valentino Santucci,Alfredo Milani
Evolutionary Computation Swarm Intelligence Book PDF

Author : Fabio Caraffini,Valentino Santucci,Alfredo Milani
Publisher : MDPI
Page : 286 pages
File Size : 45,7 Mb
Release : 2020-11-25
Category : Technology & Engineering
ISBN : 9783039434541

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Evolutionary Computation & Swarm Intelligence by Fabio Caraffini,Valentino Santucci,Alfredo Milani Pdf

The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.

Innovations in Swarm Intelligence

Chee Peng Lim,Satchidananda Dehuri
Innovations in Swarm Intelligence Book PDF

Author : Chee Peng Lim,Satchidananda Dehuri
Publisher : Springer Science & Business Media
Page : 256 pages
File Size : 46,6 Mb
Release : 2009-09-28
Category : Mathematics
ISBN : 9783642042249

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Innovations in Swarm Intelligence by Chee Peng Lim,Satchidananda Dehuri Pdf

Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals. The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include: particle swarm optimization and hybrid methods, ant colony optimization and hybrid methods, bee colony optimization, glowworm swarm optimization, and complex social swarms, application of various swarm intelligence models to operational planning of energy plants, modeling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals. The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.

Swarm Intelligence Algorithms (Two Volume Set)

Adam Slowik
Swarm Intelligence Algorithms Two Volume Set Book PDF

Author : Adam Slowik
Publisher : CRC Press
Page : 379 pages
File Size : 46,8 Mb
Release : 2021-01-26
Category : Computers
ISBN : 9781000168723

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Swarm Intelligence Algorithms (Two Volume Set) by Adam Slowik Pdf

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.