Research on the Population Migration Trend Algorithm based on Artificial Fish Swarm Algorithm
- https://doi.org/10.2991/iceat-16.2017.15How to use a DOI?
- Population Migration Trend Algorithm,Artificial Fish Swarm Algorithm,Convergence
Population migration trend is a new kind of evolutionary algorithm proposed recently, which simulates the principle of Population Migration. In this paper, the new search of mechanism is proposed to predict the population migration trend for the visual effect to the convergence of the ASFA(Artificial Fish Swarm Algorithm). the analysis of experiments is obvious that when searching area contracts, the convergence is improved greatly. The numerical experiments show that the mean iteration generation and the least successfully iteration generation of he randomness of population's movement in PMA is less than that of ASFA. And the convergence algorithm shows better local search ability and convergence stability.
- © 2017, 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 - XiWen BI AU - Meng XU PY - 2016/05 DA - 2016/05 TI - Research on the Population Migration Trend Algorithm based on Artificial Fish Swarm Algorithm BT - Proceedings of the 2016 International Conference on Engineering and Advanced Technology PB - Atlantis Press SP - 65 EP - 69 SN - 2352-5401 UR - https://doi.org/10.2991/iceat-16.2017.15 DO - https://doi.org/10.2991/iceat-16.2017.15 ID - BI2016/05 ER -