|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Multiple Choice Strategy For PSO
Algorithm – Performance Analysis On Shifted Test Functions |
|
Authors: |
Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra |
|
Published in:
|
(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
|
Citation
format: |
Michal Pluhacek,
Roman Senkerik, Ivan Zelinka,
Donald Davendra (2013). Multiple Choice Strategy
For PSO Algorithm – Performance Analysis On Shifted Test Functions, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0393 |
|
DOI: |
http://dx.doi.org/10.7148/2013-0393 |
|
Abstract: |
A new promising strategy for
the PSO (Particle swarm optimization) algorithm is proposed and described in this
paper. This new strategy presents alternative way of assigning new velocity
to each individual in particle swarm (population). This new multiple choice
particle swarm optimization (MC-PSO) algorithm is tested on two different
shifted test functions to show the performance on problems that are not
constant in time. The promising results of this alternative strategy are compared
with the not modified PSO version. |
|
Full
text: |
|
