Modified Clonal Selection Algorithm Based Classifiers

The biological immune system is an adaptive, complex and robust system that helps the body defend from foreign pathogens. Clonal Selection algorithm (CLONALG) is one of the many algorithms that have been inspired by the adaptive biological immunity of human being and animals. CLONALG has been applie...

Full description

Saved in:
Bibliographic Details
Published in2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications pp. 108 - 113
Main Authors Singh, Y. P., Babiker, A. S. H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Accuracy
Algorithm design and analysis
Antibody
Antigen
Artificial immune system
Classification algorithms
Clonal selection algorithm
Clonal Selection Classifier Algorithms (CSCA)
Cloning
Immune system
Pathogens
Problem domain heuristics
Online AccessGet full text

Cover

More Information
Summary:The biological immune system is an adaptive, complex and robust system that helps the body defend from foreign pathogens. Clonal Selection algorithm (CLONALG) is one of the many algorithms that have been inspired by the adaptive biological immunity of human being and animals. CLONALG has been applied in data mining, pattern recognition and optimization problems. The present paper presents a modified CLONALG based classifier algorithms. CLONALG has many steps and one of these steps is initializing the antibodies pool. The present paper has proposed a new approach to initialize the antibodies pool for classifier design and provides some tests and experiments to show the effectiveness of CLONALG classifier performance with randomized and antigen initializations.
ISBN:1457710927
9781457710926
DOI:10.1109/BIC-TA.2011.13