Swarm Intelligence And Machine Learning

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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.

Integration of Swarm Intelligence and Artificial Neural Network

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 9814280143
Total Pages : 352 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Integration of Swarm Intelligence and Artificial Neural Network by : Satchidananda Dehuri

Download or read book Integration of Swarm Intelligence and Artificial Neural Network written by Satchidananda Dehuri and published by World Scientific. This book was released on 2011 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning. To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.

Swarm Intelligence and Evolutionary Computation

Author : Georgios Kouziokas
Publisher : CRC Press
ISBN 13 : 1000846164
Total Pages : 218 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Swarm Intelligence and Evolutionary Computation by : Georgios Kouziokas

Download or read book Swarm Intelligence and Evolutionary Computation written by Georgios Kouziokas and published by CRC Press. This book was released on 2023-03-07 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present and analyse theoretical advances and also emerging practical applications of swarm and evolutionary intelligence. It comprises nine chapters. Chapter 1 provides a theoretical introduction of the computational optimization techniques regarding the gradient-based methods such as steepest descent, conjugate gradient, newton and quasi-Newton methods and also the non-gradient methods such as genetic algorithm and swarm intelligence algorithms. Chapter 2, discusses evolutionary computation techniques and genetic algorithm. Swarm intelligence theory and particle swarm optimization algorithm are reviewed in Chapter 3. Also, several variations of particle swarm optimization algorithm are analysed and explained such as Geometric PSO, PSO with mutation, Chaotic PSO with mutation, multi-objective PSO and Quantum mechanics – based PSO algorithm. Chapter 4 deals with two essential colony bio-inspired algorithms: Ant colony optimization (ACO) and Artificial bee colony (ABC). Chapter 5, presents and analyses Cuckoo search and Bat swarm algorithms and their latest variations. In chapter 6, several other metaheuristic algorithms are discussed such as: Firefly algorithm (FA), Harmony search (HS), Cat swarm optimization (CSO) and their improved algorithm modifications. The latest Bio-Inspired Swarm Algorithms are discussed in chapter 7, such as: Grey Wolf Optimization (GWO) Algorithm, Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA) and other algorithm variations such as binary and chaotic versions. Chapter 8 presents machine learning applications of swarm and evolutionary algorithms. Illustrative real-world examples are presented with real datasets regarding neural network optimization and feature selection, using: genetic algorithm, Geometric PSO, Chaotic Harmony Search, Chaotic Cuckoo Search, and Evolutionary Algorithm and also crime forecasting using swarm optimized SVM. In chapter 9, applications of swarm intelligence on deep long short-term memory (LSTM) networks and Deep Convolutional Neural Networks (CNNs) are discussed, including LSTM hyperparameter tuning and Covid19 diagnosis from chest X-Ray images. The aim of the book is to present and discuss several state-of-theart swarm intelligence and evolutionary algorithms together with their variances and also several illustrative applications on machine learning and deep learning.

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.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Author : Serkan Kiranyaz
Publisher : Springer Science & Business Media
ISBN 13 : 3642378463
Total Pages : 343 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 343 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 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.

Swarm Intelligence

Author : Abhishek Sharma
Publisher : CRC Press
ISBN 13 : 1000529746
Total Pages : 141 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Swarm Intelligence by : Abhishek Sharma

Download or read book Swarm Intelligence written by Abhishek Sharma and published by CRC Press. This book was released on 2022-02-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Integration Of Swarm Intelligence And Artificial Neural Network

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 9814467316
Total Pages : 352 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Integration Of Swarm Intelligence And Artificial Neural Network by : Satchidananda Dehuri

Download or read book Integration Of Swarm Intelligence And Artificial Neural Network written by Satchidananda Dehuri and published by World Scientific. This book was released on 2011-06-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning.To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer Nature
ISBN 13 : 3031366255
Total Pages : 553 pages
Book Rating : 4.0/5 (313 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 Nature. This book was released on 2023-07-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition.

Machine Learning Paradigms

Author : George A. Tsihrintzis
Publisher : Springer Nature
ISBN 13 : 3030497240
Total Pages : 429 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning Paradigms by : George A. Tsihrintzis

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer Nature. This book was released on 2020-07-23 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Author : Anand Nayyar
Publisher : CRC Press
ISBN 13 : 0429820151
Total Pages : 316 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Advances in Swarm Intelligence for Optimizing Problems in Computer Science by : Anand Nayyar

Download or read book Advances in Swarm Intelligence for Optimizing Problems in Computer Science written by Anand Nayyar and published by CRC Press. This book was released on 2018-10-03 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

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

Author : Eric Bonabeau
Publisher : Oxford University Press
ISBN 13 : 0198030150
Total Pages : 320 pages
Book Rating : 4.1/5 (98 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 320 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.

Dynamics of Swarm Intelligence Health Analysis for the Next Generation

Author : Suresh Kumar, Arumugam
Publisher : IGI Global
ISBN 13 : 1668468956
Total Pages : 412 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Dynamics of Swarm Intelligence Health Analysis for the Next Generation by : Suresh Kumar, Arumugam

Download or read book Dynamics of Swarm Intelligence Health Analysis for the Next Generation written by Suresh Kumar, Arumugam and published by IGI Global. This book was released on 2023-07-10 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individual requirements with the help of public opinion. Moreover, smart healthcare systems are generally designed to sense individual health status data, which can be forwarded to clinical professionals for interpretation. Swarm intelligence analysis is a valuable tool for categorizing public opinion into different sentiments. Dynamics of Swarm Intelligence Health Analysis for the Next Generation discusses the role of behavioral activity in the evolution of traditional medical systems to intelligent systems. It further focuses on the economic, social, and environmental impacts of swarm intelligence smart healthcare systems. Covering topics such as healthcare data analytics, clustering algorithms, and the internet of medical things, this premier reference source is an excellent resource for healthcare professionals, hospital administrators, IT managers, policymakers, educators and students of higher education, researchers, and academicians.

Evolutionary and Swarm Intelligence Algorithms

Author : Jagdish Chand Bansal
Publisher : Springer
ISBN 13 : 3319913417
Total Pages : 194 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Evolutionary and Swarm Intelligence Algorithms by : Jagdish Chand Bansal

Download or read book Evolutionary and Swarm Intelligence Algorithms written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-06-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer Nature
ISBN 13 : 9819771846
Total Pages : 464 pages
Book Rating : 4.8/5 (197 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 Nature. This book was released on with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Swarm Intelligence and Evolutionary Computation

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 331913826X
Total Pages : 295 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Recent Advances in Swarm Intelligence and Evolutionary Computation by : Xin-She Yang

Download or read book Recent Advances in Swarm Intelligence and Evolutionary Computation written by Xin-She Yang and published by Springer. This book was released on 2014-12-27 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.