An improved FOX optimization algorithm using adaptive exploration and exploitation for global optimization

Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and exploitation often limit their performance. This paper introduces an improved variation of the FOX optimization algorithm...

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Vydané v:	PloS one Ročník 20; číslo 9; s. e0331965
Hlavní autori:	Jumaah, Mahmood A., Ali, Yossra H., Rashid, Tarik A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 18.09.2025 Public Library of Science (PLoS)
Predmet:	Adaptive algorithms Algorithms Analysis Benchmarks Birds Competitiveness Computer science Design engineering Evolution Evolutionary computation Exploitation Feature selection Foraging behavior Genetic algorithms Global optimization Literature reviews Mathematical optimization Models, Theoretical Optimization algorithms Parameters Performance evaluation Performance measurement Problem solving Rank tests Statistical analysis Statistical tests Iraq
ISSN:	1932-6203, 1932-6203
On-line prístup:	Získať plný text
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