artificial immune system research paper



Artificial immune systems
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U Aickelin, D Dasgupta ,Search Methodologies, 2005 ,Springer
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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R Smith, J Timmis – Artificial Immune Systems, 2004 ,Springer
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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P Andrews – Artificial Immune Systems, 2005 ,Springer
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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LND Castro ,Soft Computing-A Fusion of Foundations, , 2003 ,Springer
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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– Artificial Immune Systems, 2005 ,Springer
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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S Bachmayer ,Department of Computer Science, University of , 2008 ,neuro.bstu.by
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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– ima.ac.uk
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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N Leandro ,2002 ,library.wisc.edu
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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M Read, P Andrews ,markread.info
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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A Whitbrook ,Handbook of Metaheuristics, 2010 ,Springer
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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J Timmis – Artificial Immune Systems, 2006 ,Springer
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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J Timmis ,Natural Computing, 2007 ,Springer
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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J Timmis, P Andrews, N Owens ,Evolutionary Intelligence, 2008 ,Springer
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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J Twycross, U Aickelin – Artificial immune systems, 2007 ,Springer
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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D Partridge , Immune Systems, 2003 ,Springer
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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J Twycross ,School of Computer Science, University of Nottingham, , 2007 ,cs.nott.ac.uk
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 



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