@inproceedings{0c80d9722ac24d97acdfe1c2e7e19005,
title = "Clonal selection algorithm for classification",
abstract = "Clonal selection principle based CLONALG is one of the most popular artificial immune system (AIS) models. It has been proposed to perform pattern matching and optimization task but has not been applied for classification tasks. Some work has been reported that accommodates CLONALG for classification but generally they do not perform well. This paper proposes an approach for classification using CLONALG with competitive results in terms of classification accuracy, compared to other AIS models and evolutionary algorithms tested on the same benchmark data sets. We named our algorithm CLONAX.",
keywords = "artificial immune system, classification, clonal selection principle, CLONALG, CLONAX, evolutionary algorithms, optimization, pattern matching",
author = "Anurag Sharma and Dharmendra Sharma",
year = "2011",
doi = "10.1007/978-3-642-22371-6_31",
language = "English",
isbn = "9783642223709",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "361--370",
editor = "Li{\`o}, {Pietro } and Nicosia, {Giuseppe } and Stibor, {Thomas }",
booktitle = "Artificial Immune Systems",
address = "Netherlands",
note = "10th International Conference on Artificial Immune Systems, ICARIS 2011 ; Conference date: 18-07-2011 Through 21-07-2011",
}