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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Journal ArticleDOI
Some remarks on the stability of the idiotypic network
TL;DR: It is shown how each mode of the immune response may be interpreted as a transition from one steady state to another one, following antigenic or any other stimulation.
Journal ArticleDOI
Energy decay of Burgers’ model of turbulence
K. Yamamoto,I. Hosokawa +1 more
TL;DR: In this paper, the authors applied Monte Carlo quadrature to Burgers' model of turbulence for many cases of initial energy spectrums and found that the power index of the energy decay ranges continuously from −2/3 to −2, depending on the cases.
Journal ArticleDOI
A qualitative study of an idiotypic cyclic network
TL;DR: This work studies a network made up of small cycles of idiotypic units, each element activating the subsequent one and repressing the preceding one, and suggests to interpret the response to an antigenic challenge as a transition from one steady state to another.
Journal ArticleDOI
Autoanti‐idiotype antibody production following antigen injection and immune regulation *
Gregory W. Siskind,Takashi Hayama,Gillian M. Shepherd,A.Faye Schrater,Marc E. Weksler,G. Jeanette Thorbecke,Edmond A. Goidl +6 more
TL;DR: The hypothesis that hapten-augmentable PFC are cells whose secretion of antibody had been inhibited by the binding of autoanti-id to cell surface antibody molecules was tested.