Electrostatic Discharge Algorithm (ESDA)

Versión 1.0.0 (819 KB) por Houssem
Electrostatic Discharge Algorithm (ESDA): A Novel Nature-Inspired Optimization Algorithm
0.0
(0)
330 Descargas
Actualizado 11 feb 2019

Ver licencia

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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Nonlinear Optimization en Help Center y MATLAB Answers.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

EDSA

Versión Publicado Notas de la versión
1.0.0