Journal ArticleDOI
The immune system, adaptation, and machine learning
TLDR
A dynamical model for the immune system is described that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer, and has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system.About:
This article is published in Physica D: Nonlinear Phenomena.The article was published on 1986-10-01. It has received 1326 citations till now. The article focuses on the topics: Artificial immune system & Learning classifier system.read more
Citations
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Proceedings Article
Microarray data biclustering with multi-objective immune algorithm
TL;DR: A novel multi-objective immune biclustering (MOIB) algorithm, based on the immune response principle of the immune system, to mine biclusters from microarray data is proposed, which extends e-dominance and performs the mechanism of crowding computation to obtain many Pareto optimal solutions distributed onto the Pare to front.
Proceedings ArticleDOI
Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models
S. De Vito,E. Martinelli,R. Di Fuccio,Francesco Tortorella,G. Di Francia,A. D' Amico,C. Di Natale +6 more
TL;DR: This work proposes and evaluates the use of a novel tool based on an emerging, however, powerful metaphor: the Artificial Immune Systems (AIS), and shows that the AIS metaphor can express interesting characteristics for artificial olfaction data analysis.
Book ChapterDOI
An informative differential evolution with self adaptive re-clustering technique
TL;DR: An informative Differential Evolution algorithm where the information gained by the individuals of a cluster will be exchanged after a certain number of iterations called refreshing gap is proposed.
Journal ArticleDOI
Ab-Ag affinity thresholds in inventory optimization
TL;DR: The role of antibody-antigen affinity and concentrations in adaptive antibody response is analyzed in a framework of probabilistic inventory model for antibody production to indicate significant differences in optimal behaviours of low, moderate and high affinity groups.
Una introducción a los algoritmos basados en caos para optimización numérica
TL;DR: This paper presents, review, discuss and analyze the main chaos optimization algorithms used when the objective function is defi ned in a compact domain, and concludes that the first wave carrier block is unnecessary, and the successful of algorithms is due to the combination of second wave carriers block and gradient based optimization.
References
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Journal ArticleDOI
Somatic generation of antibody diversity
TL;DR: In the genome of a germ-line cell, the genetic information for an immunoglobulin polypeptide chain is contained in multiple gene segments scattered along a chromosome which are assembled by recombination which leads to the formation of a complete gene.
Book ChapterDOI
A mathematical model illustrating the theory of turbulence
TL;DR: In this article, the application of statistical analysis and statistical mechanics to the problem of turbulent fluid motion has attracted much attention in recent years, and the authors investigated a complicated system of nonlinear equations, in order to find out enough about the properties of the solutions of these equations that insight can be obtained into the various patterns exhibited by the field and that data can be derived concerning the relative frequencies of these patterns in the hope that in this way a basis may be found for the calculation of important values.