Artificial Immune Systems A New Computational Intelligence Approach

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Artificial Immune Systems: A New Computational Intelligence Approach

Author : Leandro Nunes de Castro,Jonathan Timmis
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 48,7 Mb
Release : 2002-09-23
Category : Computers
ISBN : 9781852335946

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Artificial Immune Systems: A New Computational Intelligence Approach by Leandro Nunes de Castro,Jonathan Timmis Pdf

Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites. Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.

Immunological Computation

Author : Dipankar Dasgupta,Fernando Nino
Publisher : CRC Press
Page : 298 pages
File Size : 42,9 Mb
Release : 2008-09-12
Category : Computers
ISBN : 9781420065466

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Immunological Computation by Dipankar Dasgupta,Fernando Nino Pdf

Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature prov

Machine Learning Paradigms

Author : Dionisios N. Sotiropoulos,George A. Tsihrintzis
Publisher : Springer
Page : 327 pages
File Size : 47,5 Mb
Release : 2016-10-26
Category : Technology & Engineering
ISBN : 9783319471945

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Machine Learning Paradigms by Dionisios N. Sotiropoulos,George A. Tsihrintzis Pdf

The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems. The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies

Author : Mo, Hongwei
Publisher : IGI Global
Page : 634 pages
File Size : 49,7 Mb
Release : 2009-04-30
Category : Computers
ISBN : 9781605663111

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Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies by Mo, Hongwei Pdf

"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.

Artificial Immune Systems

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 209 pages
File Size : 54,6 Mb
Release : 2023-06-22
Category : Computers
ISBN : PKEY:6610000468904

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Artificial Immune Systems by Fouad Sabry Pdf

What Is Artificial Immune Systems In the field of artificial intelligence, artificial immune systems (AIS) are a classification of rule-based, computationally intelligent machine learning systems that take their cues from the fundamentals and procedures of the immune system of vertebrates. When it comes to finding solutions to problems, algorithms are frequently based after the learning and memory capabilities of the immune system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial immune system Chapter 2: Immunology Chapter 3: Adaptive immune system Chapter 4: Computational immunology Chapter 5: Clonal selection algorithm Chapter 6: Immune network theory Chapter 7: Evolutionary computation Chapter 8: Bio-inspired computing Chapter 9: Glossary of artificial intelligence Chapter 10: Rule-based machine learning (II) Answering the public top questions about artificial immune systems. (III) Real world examples for the usage of artificial immune systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial immune systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial immune systems.

Innovative Trends in Computational Intelligence

Author : Ravi Tomar,Manolo Dulva Hina,Rafik Zitouni,Amar Ramdane-Cherif
Publisher : Springer Nature
Page : 295 pages
File Size : 51,7 Mb
Release : 2021-11-29
Category : Technology & Engineering
ISBN : 9783030782849

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Innovative Trends in Computational Intelligence by Ravi Tomar,Manolo Dulva Hina,Rafik Zitouni,Amar Ramdane-Cherif Pdf

This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.

Computational Intelligence

Author : Andries P. Engelbrecht
Publisher : John Wiley & Sons
Page : 628 pages
File Size : 53,8 Mb
Release : 2007-10-22
Category : Technology & Engineering
ISBN : 0470512504

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Computational Intelligence by Andries P. Engelbrecht Pdf

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Computational Intelligence

Author : Mircea Gh. Negoita,Daniel Neagu,Vasile Palade
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 50,9 Mb
Release : 2005-02-17
Category : Business & Economics
ISBN : 3540232192

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Computational Intelligence by Mircea Gh. Negoita,Daniel Neagu,Vasile Palade Pdf

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Recent Developments in Intelligent Nature-Inspired Computing

Author : Patnaik, Srikanta
Publisher : IGI Global
Page : 264 pages
File Size : 53,7 Mb
Release : 2017-03-09
Category : Computers
ISBN : 9781522523239

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Recent Developments in Intelligent Nature-Inspired Computing by Patnaik, Srikanta Pdf

The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments. By implementing effective computing strategies, this ensures adaptable, self-organizing, and decentralized behavioral techniques. Recent Developments in Intelligent Nature-Inspired Computing is an authoritative reference source for the latest scholarly material on natural computation methods and applications in diverse fields. Highlighting multidisciplinary studies on swarm intelligence, global optimization, and group technology, this publication is an ideal reference source for professionals, researchers, scholars, and engineers interested in the latest developments in computer science methodologies.

Artificial Immune Systems

Author : Christian Jacob,Marcin Pilat,Peter Bentley,Jonathan Timmis
Publisher : Springer
Page : 508 pages
File Size : 40,5 Mb
Release : 2005-08-31
Category : Computers
ISBN : 9783540318750

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Artificial Immune Systems by Christian Jacob,Marcin Pilat,Peter Bentley,Jonathan Timmis Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Artificial Immune Systems, ICARIS 2005, held in Banff, Alberta, Canada, in August 2005. The 37 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on conceptual, formal, and theoretical frameworks, immunoinformatics, theoretical and experimental studies on artificial immune systems, and applications of artificial immune systems.

Computational Intelligence

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
Page : 726 pages
File Size : 43,5 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642017995

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Computational Intelligence by Christine L. Mumford Pdf

This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.

Handbook On Computational Intelligence (In 2 Volumes)

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 46,6 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

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Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Recent Developments in Biologically Inspired Computing

Author : Leandro N. De Castro,Fernando J. Von Zuben
Publisher : IGI Global
Page : 439 pages
File Size : 55,8 Mb
Release : 2005-01-01
Category : Computers
ISBN : 9781591403142

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Recent Developments in Biologically Inspired Computing by Leandro N. De Castro,Fernando J. Von Zuben Pdf

Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

Advances in Computational Intelligence Systems

Author : Ahmad Lotfi,Hamid Bouchachia,Alexander Gegov,Caroline Langensiepen,Martin McGinnity
Publisher : Springer
Page : 394 pages
File Size : 53,8 Mb
Release : 2018-08-10
Category : Technology & Engineering
ISBN : 9783319979823

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Advances in Computational Intelligence Systems by Ahmad Lotfi,Hamid Bouchachia,Alexander Gegov,Caroline Langensiepen,Martin McGinnity Pdf

This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Artificial Immune System

Author : Ying Tan
Publisher : John Wiley & Sons
Page : 202 pages
File Size : 52,8 Mb
Release : 2016-06-27
Category : Computers
ISBN : 9781119076285

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Artificial Immune System by Ying Tan Pdf

This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)