| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1548833 | Progress in Natural Science: Materials International | 2008 | 6 Pages |
Abstract
This paper presents a modified binary particle swarm optimization (BPSO) which adopts concepts of the genotype–phenotype representation and the mutation operator of genetic algorithms. Its main feature is that the BPSO can be treated as a continuous PSO. The proposed BPSO algorithm is tested on various benchmark functions, and its performance is compared with that of the original BPSO. Experimental results show that the modified BPSO outperforms the original BPSO algorithm.
Related Topics
Physical Sciences and Engineering
Materials Science
Electronic, Optical and Magnetic Materials
Authors
Sangwook Lee, Sangmoon Soak, Sanghoun Oh, Witold Pedrycz, Moongu Jeon,