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Meta-stable Memory in an Artificial Immune Network [chapter]

Mark Neal
2003 Lecture Notes in Computer Science  
This paper describes an artificial immune system algorithm which implements a fairly close analogue of the memory mechanism proposed by Jerne(1) (usually known as the Immune Network Theory).  ...  Immune Network Theory The immune network theory proposes that the B-cells in the body interact with each other to maintain the immune memory.  ...  in the artificial immune networks generated.  ... 
doi:10.1007/978-3-540-45192-1_17 fatcat:f4wxf73wtfdxbn2ylug44xno44

A comparative analysis of artificial immune network models

Juan Carlos Galeano, Angélica Veloza-Suan, Fabio A. González
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
This paper presents a review of different artificial immune network models, which have been published during the last years.  ...  A general model of artificial immune network is presented, which provides a common notation that allows the comparison of different models.  ...  is met 2.1: antigen presentation: Meta-Stable Memory Immune Network: Following the AINE line, Neal [20] proposed a modified version of SSAIS in 2003 for data analysis, clustering and artificial immune  ... 
doi:10.1145/1068009.1068066 dblp:conf/gecco/GaleanoVG05 fatcat:t5nzifvbarfihhafzdcfx3urna

Exploiting Immunological Properties for Ubiquitous Computing Systems [chapter]

Philipp H. Mohr, Nick Ryan, Jon Timmis
2004 Lecture Notes in Computer Science  
To that end, we present an immune inspired system, which draws heavily on the immune network metaphor to create a metastable context-aware memory system that could be delivered in small hand-held devices  ...  The immune system exhibits properties such as learning, distributivity continual adaptation, context dependent response and memory during the lifetime of a host.  ...  Artificial Immune Networks Work by Neal [19] proposed a meta-stable immune network algorithm capable of dynamically identifying new clusters in a continual stream of data.  ... 
doi:10.1007/978-3-540-30220-9_23 fatcat:6uwscmqi2naq5bs6brtnl6ltmu

Robust Feature Selection with LSTM Recurrent Neural Networks for Artificial Immune Recognition System

Canan Batur Sahin, Banu Diri
2019 IEEE Access  
Therefore, an ensemble gene selection framework is used in order to provide stable and accurate results of feature selection algorithms.  ...  Long short-term memory (LSTM) recurrent neural networks are trained with the AIRS in order to obtain the long-lived unit cells for use in the feature selection process.  ...  residues generated during the binding of an antigen and an antibody in artificial immune systems.  ... 
doi:10.1109/access.2019.2900118 fatcat:5soqd7mfzrgxpgmvgdcbkcdtei

Artificial Immune Networks: Models and Applications

Xian Shen, X. Z. Gao, Rongfang Bie
2008 International Journal of Computational Intelligence Systems  
Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields.  ...  Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization.  ...  The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting  ... 
doi:10.1080/18756891.2008.9727614 fatcat:j4upyol4t5empire7cbcuxfblq

Artificial Immune Networks: Models and Applications

Xian Shen, X.Z. Gao, Roufang Bie
2008 International Journal of Computational Intelligence Systems  
Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields.  ...  Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization.  ...  The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting  ... 
doi:10.2991/ijcis.2008.1.2.7 fatcat:udmtekn75vdgpkcya5depdul4e

Artificial Immune Networks: Models and Applications

Xian Shen, X.Z. Gao, Roufang Bie
2008 International Journal of Computational Intelligence Systems  
Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields.  ...  Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization.  ...  The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting  ... 
doi:10.2991/jnmp.2008.1.2.7 fatcat:dt77iivzezcxnkugtipdt356rm

An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System

Fatemeh Sarkohaki, Reza Fotohi, Vahab Ashrafian
2017 International Journal of Advanced Computer Science and Applications  
This paper employs the artificial immune system (AIS) to enhance efficiency of OLSR routing protocol.  ...  Characteristics of the mobile ad-hoc networks such as nodes high mobility and limited energy are regarded as the routing challenges in these networks.  ...  In artificial immune systems, creation of a stable memory structure to tolerate antigens' further attacks is considered as the main idea [23 and 24] .  ... 
doi:10.14569/ijacsa.2017.080473 fatcat:7i5bxr3stbcnxp6sqbzf4enkfu

An Overview of Artificial Immune Systems [chapter]

J. Timmis, T. Knight, L. N. de Castro, E. Hart
2004 Natural Computing Series  
An extensive survey of applications is presented, ranging from network security to optimisation and machine learning.  ...  The immune system is highly distributed, highly adaptive, self-organising in nature, maintains a memory of past encounters and has the ability to continually learn about new encounters.  ...  Indeed, in their paper they present a way of applying these general principles to the areas of adaptive control and to the creation of other immune inspired algorithms.  ... 
doi:10.1007/978-3-662-06369-9_4 fatcat:fbr2b7gy6jfhxpthyqv7tb55ru

Artificial immune algorithm applied to distribution system reconfiguration with variable demand

Simone S.F. Souza, Ruben Romero, Jorge Pereira, João T. Saraiva
2016 International Journal of Electrical Power & Energy Systems  
This algorithm is an optimization technique inspired by immune network theory (aiNet). The reconfiguration problem with variable demand is a complex problem of a combinatorial nature.  ...  This paper presents a new methodology to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demand, using the artificial immune algorithm Copt-aiNet (Artificial Immune  ...  As a result, intelligent optimization techniques, such as heuristic and meta-heuristic algorithms, artificial neural networks, and artificial immune systems, among others, are increasingly being applied  ... 
doi:10.1016/j.ijepes.2016.04.038 fatcat:apdrjbormnadjinc5p4bncy7ji

Advances in artificial immune systems

Dipankar Dasgupta
2006 IEEE Computational Intelligence Magazine  
In this example, the Artificial Immune Systems is considered stable after iterating for ten iterations without changing in size.  ...  Immune Network Theory The immune Network theory had been proposed in the mid-seventies (Jerne 1974) .  ...  • Artificial Immune Systems Forum Webpage: http://www.artificialimmune-systems.org/artist.htm • Artificial Immune Systems Bibliography: http://issrl.cs.memphis.edu/ Artificial Immune Systems/Artificial  ... 
doi:10.1109/ci-m.2006.248056 fatcat:g5czgsmucregpjqke3oszr3v4y

Advances in artificial immune systems

Dipankar Dasgupta
2006 IEEE Computational Intelligence Magazine  
In this example, the Artificial Immune Systems is considered stable after iterating for ten iterations without changing in size.  ...  Immune Network Theory The immune Network theory had been proposed in the mid-seventies (Jerne 1974) .  ...  • Artificial Immune Systems Forum Webpage: http://www.artificialimmune-systems.org/artist.htm • Artificial Immune Systems Bibliography: http://issrl.cs.memphis.edu/ Artificial Immune Systems/Artificial  ... 
doi:10.1109/mci.2006.329705 fatcat:ut3cdxzvuzcizfsy2ei6pecdqe

Artificial Immune Systems [chapter]

Dipankar Dasgupta
2013 Encyclopedia of Sciences and Religions  
For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size.  ...  Immune Network Theory The immune network theory was proposed by Jerne (1973) .  ... 
doi:10.1007/978-1-4020-8265-8_1208 fatcat:ceyqhosi2bdljadae6oykkav2y

Artificial Immune Systems [chapter]

Julie Greensmith, Amanda Whitbrook, Uwe Aickelin
2010 International Series in Operations Research and Management Science  
For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size.  ...  Immune Network Theory The immune network theory was proposed by Jerne (1973) .  ... 
doi:10.1007/978-1-4419-1665-5_14 fatcat:jkuvhn3eznh6neyl7naz4fp464

Artificial Immune Systems [chapter]

2010 Decision Engineering  
For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size.  ...  Immune Network Theory The immune network theory was proposed by Jerne (1973) .  ... 
doi:10.1007/978-1-84996-129-5_9 fatcat:o52jzt3svfdyrnhezu65tiwdau
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