GOOSE algorithm: a powerful optimization tool for real-world engineering challenges and beyond

This study proposes the GOOSE algorithm as a novel metaheuristic algorithm based on the goose's behavior during rest and foraging. The goose stands on one leg and keeps his balance to guard and protect other individuals in the flock. The GOOSE algorithm is benchmarked on 19 well-known benchmark...

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Vydáno v:	Evolving systems Ročník 15; číslo 4; s. 1249 - 1274
Hlavní autoři:	Hamad, Rebwar Khalid, Rashid, Tarik A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024 Springer Nature B.V
Témata:	Animals Artificial Intelligence Benchmarks Comparative studies Complex Systems Complexity Design optimization Engineering Genetic algorithms Heuristic methods Nervous system Optimization algorithms Optimization techniques Original Paper Particle swarm optimization Pressure vessel design Pressure vessels Metaheuristic optimization algorithms Real-World engineering challenges Benchmark test functions Pathological IgG fraction in the nervous system GOOSE algorithm Evaluation study
ISSN:	1868-6478, 1868-6486
On-line přístup:	Získat plný text
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