artificial immune system research paper
FITNESSVOLT: Important Diet Habits To Implement For A Healthy Immune System
The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self cells or nonself cells. It does this with the help of a distributed task force that has the
Towards a conceptual framework for artificial immune systems
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We propose that bio-inspired algorithms are best developed and analysed in the context of a
multidisciplinary conceptual framework that provides for sophisticated biological models and
well-founded analytical principles, and we outline such a framework here, in the context of
Inspiration for the next generation of artificial immune systems
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In this conceptual paper, we consider the state of artificial immune system (AIS) design
today, and the nature of the immune theories on which they are based. We highlight the
disagreement amongst many immunologists regarding the concept of self–non-self
Artificial immune systems as a novel soft computing paradigm
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Artificial immune systems (AIS) can be defined as computational systems inspired by
theoretical immunology, observed immune functions, principles and mechanisms in order to
solve problems. Their development and application domains follow those of soft
Two ways to grow tissue for artificial immune systems
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An immune system without tissue is like evolution without genes. Something very important
is missing. Here we present the novel concept of tissue for artificial immune systems. Much
like the genetic representation of genetic algorithms, tissue provides an interface between
Artificial immune systems
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Abstract—The study of Artificial Immune Systems (AIS) includes the development of
computational abstractions of the natural immune system. The most intuitive application of
these methods is the virus and in general the intrusion detection of a single system or
ARTIFICIAL IMMUNE SYSTEMS
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The biological immune system is a robust, complex, adaptive system that defends the body
from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self
cells or non-self cells. It does this with the help of a distributed task force that has the
Artificial immune systems: a new computational intelligence approach
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Table of Contents 1. Introduction 1.1 The Scope of the Book 1 1.2 Why Biology is a Good
Metaphor? 3 1.3 The Nature of Interdisciplinary Research 4 L4 Structure of the Book * 5 1.5 Suitability
of the Book and how to use it 6 2. Fundamentals of the Immune System 2.1 Introduction 9
Artificial immune systems: Part II–A survey of applications
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LN De Castro ,Department of Computer Engineering , 2000 ,neuro.bstu.by
The first part of this report (De Castro & Von Zuben, 1999) is intended to present the basic
theory and concepts necessary for the development of immune-based systems. It brings an
instructive introduction to the mammal immune system and depicts its most relevant
Artificial Immune Systems
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Abstract The field of artificial immune systems (AIS) can be thought of comprising two
threads of research: the employment of mathematical and computational techniques in the
modelling of immunology, and the incorporation of immune system inspired mechanisms
Artificial immune systems
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The human immune system has numerous properties that make it ripe for exploitation in the
computational domain, such as robustness and fault tolerance, and many different
algorithms, collectively termed Artificial Immune Systems (AIS), have been inspired by it.
On the use of hyperspheres in artificial immune systems as antibody recognition regions
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Using hyperspheres as antibody recognition regions is an established abstraction which
was initially proposed by theoretical immunologists for use in the modeling of antibody-
antigen interactions. This abstraction is also employed in the development of many
Artificial immune systems—today and tomorrow
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Abstract In this position paper, we argue that the field of artificial immune systems (AIS) has
reached an impasse. For many years, immune inspired algorithms, whilst having some
degree of success, have been limited by the lack of theoretical advances, the adoption of
Multimodal dynamic optimization: from evolutionary algorithms to artificial immune systems
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N Nanas Artificial Immune Systems, 2007 ,Springer
Multimodal Dynamic Optimisation is a challenging problem, used in this paper as a
framework for the qualitative comparison between Evolutionary Algorithms and Artificial
Immune Systems. It is argued that while Evolutionary Algorithms have inherent diversity
A study of artificial immune systems applied to anomaly detection
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2003 ,dis.unal.edu.co
Page 1. A Study of Artificial Immune Systems Applied to Anomaly Detection A Dissertation function
of artificial immune systems, specifically the negative selection algorithm and other self/non-self
recognition techniques. This research investigates different repre-
An interdisciplinary perspective on artificial immune systems
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Abstract This review paper attempts to position the area of Artificial Immune Systems (AIS) in
a broader context of interdisciplinary research. We review AIS based on an established
conceptual framework that encapsulates mathematical and computational modelling of
Biological inspiration for artificial immune systems
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Artificial immune systems (AISs) to date have generally been inspired by naive biological
metaphors. This has limited the effectiveness of these systems. In this position paper two
ways in which AISs could be made more biologically realistic are discussed. We propose
Artificial immune systems and the grand challenge for non-classical computation
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The UK Grand Challenges for Computing Research is an initiative to map out certain key
areas that could be used to help drive research over the next 10–15 years. One of the
identified Grand Challenges is Non-Classical Computation, which examines many of the
Integrated innate and adaptive artificial immune systems applied to process anomaly detection
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Abstract This thesis explores the design and application of artificial immune systems (AISs),
problem-solving systems inspired by the human and other immune systems. AISs to date
have largely been modelled on the biological adaptive immune system and have taken
Artificial immune system based intrusion detection: Innate immunity using an unsupervised learning approach
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This paper presents an intrusion detection system architecture based on the artificial immune system concept. In this architecture, an innate immune mechanism through unsupervised machine learning methods is proposed to primarily categorize network traffic
On the use of negative selection in an artificial immune system
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The natural immune system is very effective at protecting the body from diseases. Ëeveral researchers have analyzed the natural system and created artificial systems which copy mechanisms of the natural system in order to improve computer security. We suggest that This article reviews the production scheduling problems focusing on those related to flexible job-shop scheduling. Job-shop and flexible job-shop scheduling problems are one of the most frequently encountered and hardest to optimize. This article begins with a review of the
Artificial immune system approach for the fault detection in rotating machinery
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During the last decades there has been an increasing interest to develop engineering tools inspired by the human immune system are called Artificial Immune Systems (AIS). The immune system with its cell diversity and variety of information processing mechanisms, is a The current RFID systems are fragile to external attacks, due to the limitations of encryption authentication and physical protection methods used in implementation of RFID security systems. In this paper, we propose a collaborative RFID intrusion detection method that is
The promise and challenges of artificial immune system based web usage mining: Preliminary results
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The immune system can be viewed as a complex network structure that is able to respond to an almost unlimited multitude of foreign invaders such as viruses and bacteria. Hence, this parallel and distributed adaptive system promises tremendous potential in many intelligent
John Hollands invisible hand: An artificial immune system
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We describe an artificial immune system (AIS) that is distributed, robust, dynamic, diverse and adaptive. It captures many features of the vertebrate immune system and places them in the context of the problem of protecting a network of computers from illegal intrusions. The Over the past decade much progress has been made in the development of adaptive, model- following flight control systems. These systems are being designed to account for the degradation and even the failure of the actuators used to implement the control laws within
Hybrid artificial immune system approach for profit based unit commitment problem
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This paper presents a new approach with artificial immune system algorithm to solve the profit based unit commitment problem. The objective of this work is to find the optimal generation scheduling and to maximize the profit of generation companies (Gencos) when
Clustering data in stationary environments with a local network neighborhood artificial immune system
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The network theory in immunology inspired the modeling of network based artificial immune system (AIS) models for data clustering. Current network based AIS models determine the network connectivity between artificial lymphocytes (ALCs) by measuring the spatial To improve the performance of the K-shortest paths search in intelligent traffic guidance systems, this paper proposes an optimal search algorithm based on the intelligent optimization search theory and the metaphor mechanism of vertebrate immune systems
Realization of the complex projects on the basis of the artificial immune systems approach: intellectual system of risks estimation
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Design management is interesting and actual sphere of application of the intellectual systems and new information technology. The attention of all over the world is paid to this question. Development of the innovative technologies of management by difficult (big)
Representation in the ( artificial ) immune system
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Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or, modelling biologically plausible dynamical systems, with little overlap between. We propose that this dichotomy is somewhat In this paper, we introduce the application of transformation pattern recognition based on a complex artificial immune system . The key feature of the complex artificial immune system is the introduction of complex data representation. We use complex numbers as the data
Web search personalization based on browsing history by artificial immune system
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Different users have different needs when they submit a query to a web search engine. Common search engines investigate the World Wide Web (WWW) and find many pages according to user query regardless the query submission. The aim of web search
Sentiment mining of Malay newspaper (SAMNews) using artificial immune system
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There are sheer volume of rich web resources such as digital newspaper, e-forum, blogs, Facebook and Twitter. Mining the digital text resources reveal interesting knowledge to respective individuals or organizations. Text mining and sentiment mining or analysis are
An artificial immune system approach to automated program verification: Towards a theory of undecidability in biological computing
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An immune system inspired Artificial Immune System (AIS) algorithm is presented, and is used for the purposes of automated program verification. Relevant immunological concepts are discussed and the field of AIS is briefly reviewed. It is proposed to use this AIS algorithm
Particle swarm based artificial immune system for multimodal function optimization and engineering application problem
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Abstract Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other
Optimized coverage of non-self with evolved lymphocytes in an artificial immune system
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The natural immune system (NIS) protects the body against unwanted foreign material (non- self cells) that could damage the body (self cells). The NIS can be modeled into an artificial immune system (AIS) to detect any non-self patterns in a non-biological environment
Genetic optimized artificial immune system in spam detection: a review and a model
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Spam is a serious universal problem which causes problems for almost all computer users. This issue affects not only normal users of the internet, but also causes a big problem for companies and organizations since it costs a huge amount of money in lost productivity
Artificial immune recognition system (airs)-a review and analysis
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The natural immune system is a robust and powerful information process system that demonstrates features such as distributed control, parallel processing and adaptation or learning via experience. Artificial Immune Systems (AIS) are machine-learning algorithms
Model and algorithm in artificial immune system for spam detection
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A spam detection model based on negative selection algorithm is proposed in this paper. The artificial immune system creates techniques to solve complex computations, aiming to developing immune based models. This is done by distinguishing self from non-self
Intrusion detection system using artificial immune system
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Nature and natural organisms have always inspired researchers and scientists for solving real world issues. And Computer security is no exception. Artificial Immune System inspired from natural Immune System works efficiently for detecting intrusion in a network. Two layers
Optimal routes scheduling for municipal waste disposal garbage trucks using evolutionary algorithm and artificial immune system
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This paper describes an application of an evolutionary algorithm and an artificial immune systems to solve a problem of scheduling an optimal route for waste disposal garbage trucks in its daily operation. Problem of an optimisation is formulated and solved using both Recently, we have proposed a Multi-Objective Bayesian Artificial Immune System (MOBAIS) to deal effectively with building blocks (high-quality partial solutions coded in the solution vector) in combinatorial multi-objective problems. By replacing the mutation and cloning
New frontiers for an artificial immune system
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AIRS, a resource limited artificial immune classifier system has performed well on various classification tasks, including data clustering. This thesis proposes the use of this system for the complex task of multi-class document classification. Initially the AIRS system is validated
A spam-detecting artificial immune system
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A bstract Electronic junk mail, colloquially known as spam, has increasingly become a part of life for users of email. Although people dislike the constant barrage, it is difficult to design an anti-spam solution that can adapt appropriately to the constantly changing messagesNumerous scholars have submitted the theory and research of artificial immune systems (AISs) in recent years. Although AIS has been used in various fields, applying the AIS to medical images is very rare. The purpose of this study is using the clonal selection algorithm
Detection of artery section area using artificial immune system algorithm
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This article presents the complete chain of a method for the detection of artery section area in its perpendicular cut. The main components of the complete method are the Hough transformation for the detection of initial circle parameters and the method of discrimination Artificial immune system has been adopted as a Heuristic Algorithm to solve combinatorial problems for decades. Nevertheless, many of these past applications utilized the benefit of the system but rarely proposed approaches to enhance the overall efficiency. In this paper In this paper, we propose an artificial immune system (AIS) based on the danger theory in immunology for solving dynamic nonlinear constrained single-objective optimization problems with time-dependent design spaces. Such proposed AIS executes orderly three
Fault diagnosis using noise modeling and a new artificial immune system based algorithm
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A new fault classification/diagnosis method based on artificial immune system (AIS) algorithms for the structural systems is proposed. In order to improve the accuracy of the proposed method, ie, higher success rate, Gaussian and non-Gaussian noise generating
Artificial immune system classification of druginduced torsade de pointes with AIRS ( artificial immune recognition system )
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Artificial immune systems (AIS) represent a family of machine learning algorithms that use immune system components and mechanisms as templates in modeling information processes, such as pattern recognition and classification. This paper demonstrates the first
Danger theory metaphor in artificial immune system for system call data
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ABSTRACT Artificial Immune System (AIS) is a naive paradigm in biologically inspired computation; artificial neural networks (ANNs) and genetic algorithms (GAs) are among popular examples in this domain. The field of AIS research is vast and complex that
Cooperation artificial immune system with application to traveling salesman problem
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Inspired by the cooperation mechanisms of Th cells, we propose a new algorithm named cooperation artificial immune system and apply it to traveling salesman problem (TSP). Simulation results show that the cooperation immune model has better performance than the
Multi objective scheduling of jobs, AGVs and AS/RS in FMS using artificial immune system
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The success of any FMS lies in the design of an appropriate scheduling procedure to optimize the required performance measures of the manufacturing systems. This article addresses the problem of simultaneous scheduling of jobs, Automated Storage and Nowadays, the importance of timely delivery, which is based on the just in time concept, has caused a number of criteria related to scheduling problems to be taken into consideration. One of the most important of these criteria is maximum earliness to control final costs and
Firefly optimization using artificial immune system for feature subset selection
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At first glance, the feature selection is a crucial step in a pattern recognition system . The main objective of this selection is to reduce the features number, by eliminating irrelevant and redundant attributes. In addition, we try to maintain or improve the classifier
Artificial immune system based PID tuning for DC servo speed control
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In this paper, the application of the Artificial Immune System (AIS) algorithm for optimization problems is presented, DC Servo Motor (DCSM) speed control was taken as a case study. The PID controller was tuned using AIS algorithm by minimizing the Integral Time Absolute This paper presents two new approaches for constructing an ensemble of neural networks (NN) using coevolution and the artificial immune system (AIS). These approaches are extensions of the CLONal Selection Algorithm for building ENSembles (CLONENS)
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