@inbook{076a4f902eb64139b4a1df9482f1fe67,
title = "Exploiting parallelism inherent in AIRS an artificial immune classifier",
abstract = "The mammalian immune system is a highly complex, inherently parallel, distributed system. The field of Artificial Immune Systems (AIS) has developed a wide variety of algorithms inspired by the immune system, few of which appear to capitalize on the parallel nature of the system from which inspiration was taken. The work in this paper presents the first steps at realizing a parallel artificial immune system for classification. A simple parallel version of the classification algorithm Artificial Immune Recognition System (AIRS) is presented. Initial results indicate that a decrease in overall runtime can be achieved through fairly na{\"i}ve techniques. The need for more theoretical models of the behavior of the algorithm is discussed.",
keywords = "memory cell, message passing interface, parallel version, training instance, serial version",
author = "Andrew Watkins and Jon Timmis",
year = "2004",
doi = "10.1007/978-3-540-30220-9_34",
language = "English",
isbn = "3540230971",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "427--438",
editor = "Giuseppe Nicosia and Vincenzo Cutello and Bentley, {Peter J.} and Jon Timmis",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Switzerland",
}