Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm

Nature computing has evolved with exciting performance to solve complex real-world combinatorial optimization problems. These problems span across engineering, medical sciences, and sciences generally. The Ebola virus has a propagation strategy that allows individuals in a population to move among s...

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Veröffentlicht in:	IEEE access Jg. 10; S. 16150 - 16177
Hauptverfasser:	Oyelade, Olaide Nathaniel, Ezugwu, Absalom El-Shamir, Mohamed, Tehnan I. A., Abualigah, Laith
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Benchmarks Combinatorial analysis constrained benchmark functions convolutional neural network Differential equations Digital imaging Diseases Ebola virus Genetic algorithms Heuristic algorithms Heuristic methods Image classification Mammography Mathematical analysis Mathematical models Medical imaging metaheuristic algorithm Metaheuristics Optimization Optimization algorithms optimization problems Particle swarm optimization Performance evaluation Propagation Search algorithms Source code Statistics Strategy Viral diseases Viruses (medical)
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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