| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 411163 | Neurocomputing | 2009 | 6 Pages |
Abstract
A P system variant for optimization is presented. The system adopts the idea from the standard P systems and exploits some techniques from evolutionary computing. The new variant of the P systems is tested using several benchmark functions. The experiments illuminate that the variant of the P systems is superior to the compared algorithms showing better results, high efficiency and high reliability.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yao zhang, Liang Huang,