Particle Swarm Optimization in Immune Network Mechanism
Available Online October 2016.
- 10.2991/mmme-16.2016.42How to use a DOI?
- Particle Swarm; Immune; Immune PSO
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.
- © 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 - 10.2991/mmme-16.2016.42 ID - Chang2016/10 ER -