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
GSA: A Gravitational Search Algorithm
TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
Book
Metaheuristics: From Design to Implementation
TL;DR: This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling.
Proceedings ArticleDOI
Self-nonself discrimination in a computer
TL;DR: A method for change detection which is based on the generation of T cells in the immune system is described, which reveals computational costs of the system and preliminary experiments illustrate how the method might be applied to the problem of computer viruses.
Journal ArticleDOI
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Anna L. Buczak,Erhan Guven +1 more
TL;DR: The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/ DM for cyber security is presented, and some recommendations on when to use a given method are provided.
Journal ArticleDOI
Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems
TL;DR: An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale non-linear optimization problems for finding the global solutions.
References
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Book ChapterDOI
Genetic Algorithms and Adaptation
TL;DR: Genetics provides us with a canonical example of a complex search through a space of ill-defined possibilities to generate useful organization — the functional properties of the organism.
Journal ArticleDOI
A theory of regulation and self‐nonself discrimination in an immune network
TL;DR: A mechanism is suggested for the regulation of the immune response that involves antigen‐binding and anti‐idiotypic lymphocytes and antigen‐specific T cell‐dependent factors, which are assumed to be able to block the receptors of both T cells and cells of the anti-idiotymic specificities.
Journal ArticleDOI
A network theory of the immune system.
TL;DR: The face that every antibody also had antigenic properties leads to the existence of a functional network of interacting antibodies and lymphocytes in the immune system, and some of the principal features of the immune response such as normal primary and secondary response, low and highzone tolerance induction, and memory can be reproduced.
Journal ArticleDOI
Hypermutation at the immunoglobulin heavy chain locus in a pre-B-cell line.
TL;DR: Most cells in the well-known pre-B-lymphocyte line 18-81 have correctly assembled genes for both alleles at the immunoglobulin heavy chain locus, but only one allele is "active"; the other, "silent" allele contains an amber termination codon.