| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1634460 | Procedia Materials Science | 2014 | 8 Pages |
Abstract
In this study Taguchi based grey relational analysis is used to find out optimum process parameters for Particle Swarm Optimization. PSO-type, population size and C values are selected as process parameters for this analysis. The parameters obtained by the analysis can generate better result with in a preferable time. A supportive case study shows the effectiveness of the proposed approach.
Related Topics
Physical Sciences and Engineering
Materials Science
Metals and Alloys
