Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4635734 | Applied Mathematics and Computation | 2006 | 7 Pages |
Abstract
A simple and powerful micro-particle swarm optimizer (μPSO) is presented. For high dimensional optimization problems, the proposed μPSO needs only a small population to outperform the standard particle swarm optimizer (PSO) that uses a larger population. This superior performance is confirmed by simulation results for different high dimensional test functions.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Tony Huang, Ananda Sanagavarapu Mohan,