Electrostatic Discharge Algorithm (ESDA)
Electrostatic Discharge Algorithm (ESDA): A Novel Nature-Inspired Optimization Algorithm
Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
Because of their several advantages like simplicity, flexibility and adaptability, nature inspired (NI) optimization algorithms have attracted significant attention for solving complex optimization problems. Source of inspiration of NI are multiple. The aim of this work is to propose a new NI optimization algorithm inspired from the Electrostatic Discharge (ESD) event. Tested on a large set of benchmarks and compared with several well-known optimization algorithms the ESDA is found to be a very competitive algorithm.
https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5194
Citation pour cette source
Bouchekara, Houssem: 'Electrostatic Discharge Algorithm (ESDA): A Novel Nature-Inspired Optimization Algorithm and its Application to Worst-Case Tolerance Analysis of An EMC Filter', IET Science, Measurement & Technology, 2019, DOI: 10.1049/iet-smt.2018.5194 IET Digital Library, https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5194
Informations générales
- Version 1.0.0 (819 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0 |
