| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 383216 | Expert Systems with Applications | 2013 | 4 Pages |
Abstract
This work presents the application of the Mahalanobis–Taguchi System (MTS) to a dimensional problem in the automotive industry. The combinatorial optimization problem of variable selection is solved by the application of a recent version of binary ant colony optimization algorithm. Moreover, a comparison with respect to binary particle swarm optimization algorithm is also presented and a discussion regarding the numerical results is given.
► Hybrid Mahalanobis–Taguchi System (MTS) using binary PSO is applied in automotive industry. ► First time that a novel binary ants colony optimization (NBACO) is combined with MTS. ► A numerical comparison between binary PSO and NBACO is presented.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Edgar Reséndiz, Luis A. Moncayo-Martínez, Georgina Solís,