Theory And New Applications Of Swarm Intelligence


Theory And New Applications Of Swarm Intelligence
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Theory And New Applications Of Swarm Intelligence


Theory And New Applications Of Swarm Intelligence
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Author : Rafael Parpinelli
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-03-16

Theory And New Applications Of Swarm Intelligence written by Rafael Parpinelli and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-16 with Computers categories.


The field of research that studies the emergent collective intelligence of self-organized and decentralized simple agents is referred to as Swarm Intelligence. It is based on social behavior that can be observed in nature, such as flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. The computer science community have already learned about the importance of emergent behaviors for complex problem solving. Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence.



Theory And New Applications Of Swarm Intelligence


Theory And New Applications Of Swarm Intelligence
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Author : Rafael Parpinelli
language : en
Publisher:
Release Date : 2012

Theory And New Applications Of Swarm Intelligence written by Rafael Parpinelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.


The field of research that studies the emergent collective intelligence of self-organized and decentralized simple agents is referred to as Swarm Intelligence. It is based on social behavior that can be observed in nature, such as flocks of birds, fish schools and bee hives, where a number of individuals with limited capabilities are able to come to intelligent solutions for complex problems. The computer science community have already learned about the importance of emergent behaviors for complex problem solving. Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence.



Theory And New Applications Of Swarm Intelligence


Theory And New Applications Of Swarm Intelligence
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Author : Bilroy Muller
language : en
Publisher:
Release Date : 2016-09-01

Theory And New Applications Of Swarm Intelligence written by Bilroy Muller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-01 with categories.


"A single ant or bee isn't smart, but their colonies are. The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots. A colony can solve problems unthinkable for individual ants, such as finding the shortest path to the best food source, allocating workers to different tasks, or defending a territory from neighbors. As individuals, ants might be tiny dummies, but as colonies they respond quickly and effectively to their environment. They do it with something called swarm intelligence. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Swarm intelligence has a marked multidisciplinary character since systems with the above mentioned characteristics can be observed in a variety of domains. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of intelligent global behavior, unknown to the individual agents. Theory and New Applications of Swarm Intelligence allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence that reflect the emerging trends in state-of-the-art algorithms. Hence, this book presents some recent advances on Swarm Intelligence, especially on new swarm-based optimization methods and hybrid algorithms for several applications."



Multi Objective Swarm Intelligence


Multi Objective Swarm Intelligence
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Author : Satchidananda Dehuri
language : en
Publisher: Springer
Release Date : 2015-03-10

Multi Objective Swarm Intelligence written by Satchidananda Dehuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-10 with Technology & Engineering categories.


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.



Swarm Intelligence And Bio Inspired Computation


Swarm Intelligence And Bio Inspired Computation
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Author : Xin-She Yang
language : en
Publisher: Newnes
Release Date : 2013-05-16

Swarm Intelligence And Bio Inspired Computation written by Xin-She Yang and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-16 with Computers categories.


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.



Swarm Intelligence


Swarm Intelligence
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Author : Abhishek Sharma
language : en
Publisher: CRC Press
Release Date : 2022-02-08

Swarm Intelligence written by Abhishek Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Technology & Engineering categories.


Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.



Swarm Intelligence


Swarm Intelligence
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Author : Javier Del Ser
language : en
Publisher:
Release Date : 2019

Swarm Intelligence written by Javier Del Ser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.



Swarm Intelligence


Swarm Intelligence
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-12-04

Swarm Intelligence written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Computers categories.


Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.



Nature Inspired Computation And Swarm Intelligence


Nature Inspired Computation And Swarm Intelligence
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Author : Xin-She Yang
language : en
Publisher: Academic Press
Release Date : 2020-04-24

Nature Inspired Computation And Swarm Intelligence written by Xin-She Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Computers categories.


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



Swarm Intelligence


Swarm Intelligence
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Author : Ying Tan
language : en
Publisher: Control, Robotics and Sensors
Release Date : 2018-06

Swarm Intelligence written by Ying Tan and has been published by Control, Robotics and Sensors this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06 with Technology & Engineering categories.


This book includes 27 chapters and presents a great number of real-world applications of swarm intelligence algorithms and related evolutionary algorithms.