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Clonal Selection from First Principles [chapter]

Chris McEwan, Emma Hart
2010 Lecture Notes in Computer Science  
Clonal selection is the keystone of mainstream immunology and computational systems based on immunological principles.  ...  For the latter, clonal selection is often interpreted as an asexual variant of natural selection, and thus, tend to be variations on evolutionary strategies.  ...  Reproducible Research All source code used to produce the results and figures in this paper is available from∼cs268/mcewan2010principles.tgz.  ... 
doi:10.1007/978-3-642-14547-6_3 fatcat:ultgk7nhrzclfhi4zzf46jwyyu

Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers

Maha Mohammed
1970 Journal of education and science  
Mode results obtained from implementing both algorithms showed that the artificial immune system algorithm(Clonal selection algorithm) was good and 85% in getting closer modes to that of the applied Latin  ...  This work involves the use some of Artificial intelligence techniques algorithms which are genetic algorithm and artificial immune system algorithm-clonal selection algorithm.  ...  selection algorithm (first generation).Figure (7)shows the modes pattern generated by executing the clonal selection algorithm (first generation).  ... 
doi:10.33899/edusj.1970.162121 fatcat:ro2pq3njobhw3onb3yaxq6ah6e

Clonal Selection-Based Neural Classifier

A. Lanaridis, V. Karakasis, A. Stafylopatis
2008 2008 Eighth International Conference on Hybrid Intelligent Systems  
This work is a first attempt of applying the clonal selection principle to the training of Multi-Layer Perceptrons (MLPs).  ...  The Clonal Selectionbased Neural Classifier (CSNC) uses the basic concepts of clonal selection to evolve MLPs, which are represented as real-valued linear antibodies.  ...  A first attempt to model the clonal selection principle was performed by Weinard [11] , though from a more biological point of view. Fukuda et al.  ... 
doi:10.1109/his.2008.82 dblp:conf/his/LanaridisKS08 fatcat:b732vzuemzbtbizsmgpjis4sny

Mathematical Optimization Algorithm for Minimizing the Cost Function of GHG Emission in AS/RS Using Positive Selection Based Clonal Selection Principle

Mahalakshmi, R Murugesan
2018 Journal of Physics, Conference Series  
In the later stage clonal selection principle is used to generate best solutions.  ...  In the first stage positive selection principle is used to reduce the search space of the optimal solution by fixing a threshold value.  ...  In the first stage positive selection algorithm is used and in the second stage clonal selection principle is applied.  ... 
doi:10.1088/1742-6596/1000/1/012092 fatcat:6gysesjuvrd3hagmtxyixi2b64

The power of clonal selection

Klaus Rajewsky
1993 Nature  
Another is that the clonal distribution of antibody specificities allows for the most efficient triggering of specific immune responses, through selective activation of only those cells that are selected  ...  In this sense, the mechanisms by which trans gene expression is differentially modulated in the hybridomas of Lozano et al. may contribute to clonal selection as such.  ... 
doi:10.1038/363208a0 pmid:8487859 fatcat:nizs2uhywfg7dlqnfp7xlu7twy

Unsupervised Classification Using Immune Algorithm

M.T. Al-Muallim, R. El-Kouatly
2010 International Journal of Computer Applications  
Unsupervised classification algorithm based on clonal selection principle named Unsupervised Clonal Selection Classification (UCSC) is proposed in this paper.  ...  Unsupervised classification algorithm based on clonal selection principle named Unsupervised Clonal Selection Classification (UCSC) is proposed.  ...  The first clonal selection algorithm was proposed by [13] which named CLONALG and used for optimization.  ... 
doi:10.5120/677-952 fatcat:hsli53f6rvcwdbomxou65lp4be

Crossing the Threshold of Lymphocyte Activation

M. P. Cancro
2005 Journal of Immunology  
As evidenced by Jerne's remarks from the Basel Institute for Immunology's First Annual Report, basic principles governing signaling via Ag receptors also remained mysterious.  ...  At that time, the burgeoning field of cellular immunology was abuzz with riddles posed by the newly embraced clonal selection paradigm.  ... 
doi:10.4049/jimmunol.174.9.5159 pmid:15843510 fatcat:imbbf4hqgveqdfiwvcwxsr7qh4

Use of Clonal Selection Algorithm as Software Test Data Generation Technique

Ankur Pachauri, Gursaran
2012 2012 Second International Conference on Advanced Computing & Communication Technologies  
Clonal selection algorithm is an algorithm that belongs to the class of immune algorithm inspired form clonal selection principle of biological immune system.  ...  Initially clonal selection algorithm was designed for machine learning approach and was used in pattern recognition process of artificial intelligence.  ...  CLONAL SELECTION ALGORITHM Clonal selection algorithm is an algorithm, belongs to the class of immune algorithm inspired from clonal selection principle of biological immune system.  ... 
doi:10.1109/acct.2012.118 fatcat:rs3cv644xvdvzdetsvtxbl7y3i


Bilal Babayigit, Kerim Guney, Ali Akdagli
2008 Progress in Electromagnetics Research B  
The CLONALG is a relatively novel population-based evolutionary algorithm inspired by the clonal selection principle of the human immune system.  ...  In this paper, a method based on clonal selection algorithm (CLONALG) is proposed for null steering of linear antenna arrays by controlling only the positions of selected elements.  ...  Figure 1 . 1 The clonal selection principle.  ... 
doi:10.2528/pierb08031218 fatcat:grzdgxm7kjazlm32wwaxiwjjh4

Comparison of Burnet's clonal selection theory with tumor cell-clone development

Borros Arneth
2018 Theranostics  
Methods: Evidence from previous studies was gathered to compare Burnet's clonal selection theory with the tumor evolution theory.  ...  , such as clonal expansion, clonal selection, and genetic diversification.  ...  First, Burnet's clonal selection theory focuses on lymphocyte functions, specifically those in response to antigens that attack the body [32, 33] .  ... 
doi:10.7150/thno.24083 pmid:29930737 pmcid:PMC6010991 fatcat:6sxzmcdjmjdyvbuq6svicfmkoa

Optimization of multiple input–output fuzzy membership functions using clonal selection algorithm

A. Merve Acilar, Ahmet Arslan
2011 Expert systems with applications  
A clonal selection algorithm (CLONALG) inspires from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic stimulus.  ...  De Castro& Von Zuben proposed a Clonal selection algorithm named CLONALG, to fulfill these basic processes involved in clonal selection principle.  ...  This algorithm is inspired from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic stimulus.  ... 
doi:10.1016/j.eswa.2010.07.036 fatcat:ezej47rnifeapfggs3k5ws6zgm

Vector Quantization Codebook Design and Application Based on the Clonal Selection Algorithm

Mengling Zhao, Hongwei Liu
2013 Sensors & Transducers  
After the introduction of the basic principle of the vector quantization and the classical algorithm for vector quantization codebook design, the paper, based on manifold distance, presents a clonal selection  ...  Through experiment, based on manifold distance, compared the clonal selection codebook design algorithm (MDCSA) with the hereditary codebook design algorithm and LBG algorithm.  ...  Different from the options in genetic algorithm, clonal selection operation chooses the preeminent individuals from the cloned progenies of each antibody to form a new population-a neuter selection process  ... 
doaj:faa57aaa0df94087a7334df42b2202e0 fatcat:iwnb5vro2zh35lwg7kkysopu3i

An Immune Memory and Negative Selection to Manage Tensions in Emergency Services

Mouna Berquedich, Oualid Kamach, Malek Masmoudi
2019 International Journal of Intelligent Engineering and Systems  
We, basically, inspired from the biological immune defence processes to illustrate a piloting emergency mean known as the artificial immune system (AIS).  ...  This system intelligently assists hospital's decisionmakers to enhance their supplying strategies, provides relevant traces from tracking previous information that assist hospital's staffs that face the  ...  Overall, the clonal selection principles were first achieved in 1959 [18] .  ... 
doi:10.22266/ijies2019.0630.22 fatcat:4eg5b7e7ore7vk57bbvzypxis4

An Immune-Inspired Approach for Breast Cancer Classification [chapter]

Rima Daoudi, Khalifa Djemal, Abdelkader Benyettou
2013 Communications in Computer and Information Science  
Designed by the principles of the natural immune system, it is able of learning, memorize and perform pattern recognition.  ...  Selection and Cloning Based Median Filter CLONALG : Principle and Methods The clonal selection algorithm, CSA, was first proposed by de Castro and Von Zuben in [16] and was later enhanced in [17]  ...  Clonal Selection Principle: antibody selection, clonal expansion and memory cells generation The rest of this paper is organized as follows: section 2 presents a theoretical background of CLONALG algorithm  ... 
doi:10.1007/978-3-642-41013-0_28 fatcat:snkyqtijenc63avk32rd7e3lr4

Development of Novel Digital Equalizers for Noisy Nonlinear Channel using Artificial Immune System

Satyasai Jagannath Nanda, Ganapati Panda, Babita Majhi
2008 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems  
PRINCIPLE OF CLONAL SELECTION ALGORITHM Immunity refers to a condition in which an organism can resist disease.  ...  The Clonal Selection Principle so as to act faster or more effectively in future when the organism is exposed to same or similar pathogen.  ... 
doi:10.1109/iciinfs.2008.4798337 fatcat:kxttxqbss5eobowh5fxgccr4d4
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