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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Journal ArticleDOI
An artificial immune system for solving production scheduling problems: a review
TL;DR: This article reviews the production scheduling problems focusing on those related to flexible job-shop scheduling and suggests ways in which artificial immune systems (AIS) can be used in solving these problems.
Journal ArticleDOI
Immune network based ensembles
TL;DR: In this paper, the authors presented a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial immune systems.
Journal ArticleDOI
Application of the feature-detection rule to the Negative Selection Algorithm
TL;DR: The feature-detection rule greatly improves the detection rates and false alarm rates exhibited by the NSA (utilising the r-chunks and hamming distance rule) in addition to refuting the way in which permutation masks are currently being applied in artificial immune systems.
Journal ArticleDOI
Efficient immune algorithm for optimal allocations in series-parallel continuous manufacturing systems
TL;DR: An immune algorithm (IA) meta-heuristic optimization method is used as an optimization technique to seek for the optimal design configuration of series-parallel production systems.
Journal ArticleDOI
Advances of metaheuristic algorithms in training neural networks for industrial applications
TL;DR: This article tries to compare and summarize the properties of various metaheuristic algorithms in terms of their convergence rate and the ability to avoid the local minima and categorizes the latest meta heuristic search algorithm in the literature to indicate their efficiency in training ANN for various industry applications.
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.