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Electrostatic Discharge Algorithm (ESDA)

version 1.0.0 (819 KB) by Houssem
Electrostatic Discharge Algorithm (ESDA): A Novel Nature-Inspired Optimization Algorithm


Updated 11 Feb 2019

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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.

Cite As

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,

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MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
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