Particle Swarm Optimization in Immune Network Mechanism

DOI

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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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  - 10.2991/mmme-16.2016.42
ID  - Chang2016/10
ER  -