COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle

This paper presents a novel bio-inspired optimization algorithm called Coronavirus Optimization Algorithm (COVIDOA). COVIDOA is an evolutionary search strategy that mimics the mechanism of coronavirus when hijacking human cells. COVIDOA is inspired by the frameshifting technique used by the coronavi...

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Veröffentlicht in:	Neural computing & applications 2022-12, Vol.34 (24), p.22465-22492
Hauptverfasser:	Khalid, Asmaa M., Hosny, Khalid M., Mirjalili, Seyedali
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Benchmarks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Coronaviruses COVID-19 Data Mining and Knowledge Discovery Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic methods Image Processing and Computer Vision Mutation Optimization Original Original Article Probability and Statistics in Computer Science Replication
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