Open Access
The Clonal Selection Algorithm with Engineering Applications 1
TLDR
A powerful computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response is proposed and is shown to be an evolutionary strategy capable of solving complex machinelearning tasks, like pattern recognition and multimodal optimization.Abstract:
The clonal selection algorithm is used by the natural immune system to define the basic features of an immune response to an antigenic stimulus. It establishes the idea that only those cells that recognize the antigens are selected to proliferate. The selected cells are subject to an affinity maturation process, which improves their affinity to the selective antigens. In this paper, we propose a powerful computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. The algorithm is shown to be an evolutionary strategy capable of solving complex machinelearning tasks, like pattern recognition and multimodal optimization.read more
Citations
More filters
Journal ArticleDOI
Artificial immune systems as a novel soft computing paradigm
L.N. de Castro,Jon Timmis +1 more
TL;DR: This paper proposes one such framework for AIS, discusses the suitability of AIS as a novel soft computing paradigm and reviews those works from the literature that integrate AIS with other approaches, focusing ANN, EA and FS.
Journal ArticleDOI
Advances in artificial immune systems
TL;DR: Although still relatively young, the artificial immune system (AIS) is emerging as an active and attractive, field involving models, techniques and applications of greater diversity.
Journal ArticleDOI
Distributed Intrusion Detection System in a Multi-Layer Network Architecture of Smart Grids
TL;DR: Simulation results demonstrate that this is a promising methodology for supporting the optimal communication routing and improving system security through the identification of malicious network traffic.
Journal ArticleDOI
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
TL;DR: A survey of the major works in the AIS field explores up-to-date advances in applied AIS during the last few years and reveals that recent research is centered on four major AIS algorithms: negative selection algorithms; artificial immune networks; clonal selection algorithm; Danger Theory and dendritic cell algorithms.
Journal ArticleDOI
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
TL;DR: Experimental results indicate that the revisions to the algorithm do not sacrifice accuracy while increasing the data reduction capabilities of AIRS, which is an immune-inspired supervised learning algorithm.
References
More filters
Book
Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Journal ArticleDOI
An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
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.
Journal ArticleDOI
An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
Book ChapterDOI
Somatic Generation of Antibody Diversity1
TL;DR: In this paper, it was shown that an organism does not inherit even a single complete gene for antibody polypeptide chains, rather, the genetic information is transmitted in germline as no more than several hundred gene segments.