Swarm Intelligence And Evolutionary Computation

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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 : 50,8 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.

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 : 47,7 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.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Xin-She Yang
Recent Advances in Swarm Intelligence and Evolutionary Computation Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 300 pages
File Size : 51,5 Mb
Release : 2014-12-27
Category : Technology & Engineering
ISBN : 9783319138268

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Recent Advances in Swarm Intelligence and Evolutionary Computation by Xin-She Yang Pdf

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.

Swarm Intelligence and Evolutionary Computation

Georgios N. Kouziokas
Swarm Intelligence and Evolutionary Computation Book PDF

Author : Georgios N. Kouziokas
Publisher : CRC Press
Page : 218 pages
File Size : 47,9 Mb
Release : 2023-03-10
Category : Computers
ISBN : 9781000846164

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Swarm Intelligence and Evolutionary Computation by Georgios N. Kouziokas Pdf

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

Felix Chan,Manoj Tiwari
Swarm Intelligence Book PDF

Author : Felix Chan,Manoj Tiwari
Publisher : BoD – Books on Demand
Page : 550 pages
File Size : 45,5 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.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das
Artificial Intelligence and Evolutionary Computations in Engineering Systems Book PDF

Author : Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das
Publisher : Springer
Page : 735 pages
File Size : 54,7 Mb
Release : 2018-03-19
Category : Technology & Engineering
ISBN : 9789811078682

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Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das Pdf

The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.

Swarm and Evolutionary computation

Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada
Swarm and Evolutionary computation Book PDF

Author : Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada
Publisher : Springer
Page : 440 pages
File Size : 49,9 Mb
Release : 2012-04-15
Category : Computers
ISBN : 9783642293535

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Swarm and Evolutionary computation by Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada Pdf

The volume LNCS 7269 constitutes the refereed proceedings of the International Symposium on Swarm Intelligence and Differential Evolution, SIDE 2012, held in Zakopane, Poland, in April/May 2012 in conjunction with the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012 (proceedings published as two-volume set LNAI 7267 and 7268). The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The volume is divided into two topical parts: proceedings of the 2012 symposium on swarm intelligence and differential evolution and on evolutionary algorithms and their applications.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Sandeep Kumar,Anand Nayyar,Anand Paul
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book PDF

Author : Sandeep Kumar,Anand Nayyar,Anand Paul
Publisher : CRC Press
Page : 169 pages
File Size : 53,9 Mb
Release : 2019-11-11
Category : Medical
ISBN : 9781000726794

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development by Sandeep Kumar,Anand Nayyar,Anand Paul Pdf

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Swarm Intelligence and Deep Evolution

Hitoshi Iba
Swarm Intelligence and Deep Evolution Book PDF

Author : Hitoshi Iba
Publisher : CRC Press
Page : 288 pages
File Size : 51,5 Mb
Release : 2022-04-14
Category : Computers
ISBN : 9781000579901

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Swarm Intelligence and Deep Evolution by Hitoshi Iba Pdf

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.

Emerging Research on Swarm Intelligence and Algorithm Optimization

Shi, Yuhui
Emerging Research on Swarm Intelligence and Algorithm Optimization Book PDF

Author : Shi, Yuhui
Publisher : IGI Global
Page : 341 pages
File Size : 50,6 Mb
Release : 2014-07-31
Category : Computers
ISBN : 9781466663299

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Emerging Research on Swarm Intelligence and Algorithm Optimization by Shi, Yuhui Pdf

Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems Book PDF

Author : L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 862 pages
File Size : 49,6 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9788132221265

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi Pdf

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

New Achievements in Evolutionary Computation

Peter Korosec
New Achievements in Evolutionary Computation Book PDF

Author : Peter Korosec
Publisher : BoD – Books on Demand
Page : 330 pages
File Size : 54,9 Mb
Release : 2010-02-01
Category : Computers
ISBN : 9789533070537

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New Achievements in Evolutionary Computation by Peter Korosec Pdf

Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.

Swarm Intelligence and Evolutionary Computation

Georgios Kouziokas
Swarm Intelligence and Evolutionary Computation Book PDF

Author : Georgios Kouziokas
Publisher : Unknown
Page : 0 pages
File Size : 46,6 Mb
Release : 2023-03-07
Category : Deep learning (Machine learning)
ISBN : 1032162503

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Swarm Intelligence and Evolutionary Computation by Georgios Kouziokas Pdf

Provides theoretical analyses and practical applications of several important swarm and evolutionary intelligence algorithms, including: genetic algorithm, particle swarm optimization, ant colony optimization, artificial bee colony, bat algorithm, cuckoo search, firefly algorithm, differential evolution, cat swarm optimization and others. Discusses a theoretical foundation and analyses of the computational optimization techniques including 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 particle swarm optimization. Covers emerging practical applications of swarm intelligence in machine learning and deep learning including artificial neural networks (ANNs), support vector machines (SVMs), deep convolutional neural networks (CNN) and deep long short-term memory (LSTM) networks. Covers the latest developed Bio-Inspired Metaheuristic Algorithms, including: Grey Wolf Optimization (GWO) Algorithm, Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA).

Introduction to Evolutionary Algorithms

Xinjie Yu,Mitsuo Gen
Introduction to Evolutionary Algorithms Book PDF

Author : Xinjie Yu,Mitsuo Gen
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 50,7 Mb
Release : 2010-06-10
Category : Computers
ISBN : 9781849961295

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Introduction to Evolutionary Algorithms by Xinjie Yu,Mitsuo Gen Pdf

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.

Multi-Objective Swarm Intelligent Systems

Leandro dos Santos Coelho
Multi Objective Swarm Intelligent Systems Book PDF

Author : Leandro dos Santos Coelho
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 50,5 Mb
Release : 2009-11-19
Category : Computers
ISBN : 9783642051647

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Multi-Objective Swarm Intelligent Systems by Leandro dos Santos Coelho Pdf

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.