Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

Particle Swarm Optimization in Immune Network Mechanism

Authors
Jing Chang
Corresponding Author
Jing Chang
Available Online October 2016.
DOI
https://doi.org/10.2991/mmme-16.2016.42How to use a DOI?
Keywords
Particle Swarm; Immune; Immune PSO
Abstract

In this paper, based on the particle swarm optimization in the environment of all the particles and their own search experience, using immune network mechanism of the clonal selection mechanism, this paper proposes a particle swarm optimization algorithm based on immune network mechanism. Based on the immune network theory system as a kind of adaptive to maintain population diversity and self-regulating, leading to the algorithm based on immune mechanism with the overall, strong local search ability, making this kind of algorithms in pattern recognition and machine learning has been effectively used.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/mmme-16.2016.42How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing Chang
PY  - 2016/10
DA  - 2016/10
TI  - Particle Swarm Optimization in Immune Network Mechanism
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 190
EP  - 192
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.42
DO  - https://doi.org/10.2991/mmme-16.2016.42
ID  - Chang2016/10
ER  -