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.
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
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