The Artificial Immune System (AIS) is a biologically inspired computation system based on vertebrate immune system. AIS applications in last one decade have been developed to address the complex computational and engineering problems related to classification, optimization and anomaly detection. Many investigations have been conducted to understand the principles of immune system to translate the knowledge into AIS applications. However, a clear understanding of principles and responses of immune system is still required for application of AIS to Swarm Robotics. This paper after a review of AIS models and algorithms proposes an integration of AIS and Swarm Robotics by developing a very clear understanding of immune system structures and associated functions.
| Published in | Automation, Control and Intelligent Systems (Volume 3, Issue 2) |
| DOI | 10.11648/j.acis.20150302.11 |
| Page(s) | 11-18 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Immune System (IS), Artificial Immune Systems (AIS), AIS Algorithms, Neutrophils, Swarm Robotics (SR)
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APA Style
Johar Daudi. (2015). An Overview of Application of Artificial Immune System in Swarm Robotic Systems. Automation, Control and Intelligent Systems, 3(2), 11-18. https://doi.org/10.11648/j.acis.20150302.11
ACS Style
Johar Daudi. An Overview of Application of Artificial Immune System in Swarm Robotic Systems. Autom. Control Intell. Syst. 2015, 3(2), 11-18. doi: 10.11648/j.acis.20150302.11
AMA Style
Johar Daudi. An Overview of Application of Artificial Immune System in Swarm Robotic Systems. Autom Control Intell Syst. 2015;3(2):11-18. doi: 10.11648/j.acis.20150302.11
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Download@article{10.11648/j.acis.20150302.11,
author = {Johar Daudi},
title = {An Overview of Application of Artificial Immune System in Swarm Robotic Systems},
journal = {Automation, Control and Intelligent Systems},
volume = {3},
number = {2},
pages = {11-18},
doi = {10.11648/j.acis.20150302.11},
url = {https://doi.org/10.11648/j.acis.20150302.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150302.11},
abstract = {The Artificial Immune System (AIS) is a biologically inspired computation system based on vertebrate immune system. AIS applications in last one decade have been developed to address the complex computational and engineering problems related to classification, optimization and anomaly detection. Many investigations have been conducted to understand the principles of immune system to translate the knowledge into AIS applications. However, a clear understanding of principles and responses of immune system is still required for application of AIS to Swarm Robotics. This paper after a review of AIS models and algorithms proposes an integration of AIS and Swarm Robotics by developing a very clear understanding of immune system structures and associated functions.},
year = {2015}
}
TY - JOUR T1 - An Overview of Application of Artificial Immune System in Swarm Robotic Systems AU - Johar Daudi Y1 - 2015/03/12 PY - 2015 N1 - https://doi.org/10.11648/j.acis.20150302.11 DO - 10.11648/j.acis.20150302.11 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 11 EP - 18 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20150302.11 AB - The Artificial Immune System (AIS) is a biologically inspired computation system based on vertebrate immune system. AIS applications in last one decade have been developed to address the complex computational and engineering problems related to classification, optimization and anomaly detection. Many investigations have been conducted to understand the principles of immune system to translate the knowledge into AIS applications. However, a clear understanding of principles and responses of immune system is still required for application of AIS to Swarm Robotics. This paper after a review of AIS models and algorithms proposes an integration of AIS and Swarm Robotics by developing a very clear understanding of immune system structures and associated functions. VL - 3 IS - 2 ER -
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