Improved dwarf mongoose optimization algorithm based on hybrid strategy for global optimization and engineering problems

The Dwarf Mongoose Optimization algorithm is a metaheuristic approach designed to solve single-objective optimization problems. However, DMO has certain limitations, including slow convergence rates and a tendency to get stuck in local optima, particularly when applied to multimodal and combinatoria...

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Vydané v:	The Journal of supercomputing Ročník 81; číslo 3; s. 483
Hlavní autori:	He, Fuchun, Fu, Chunming, He, Youwei, Huo, Shaoyong, Tang, Jiachang, Long, Xiangyun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 12.02.2025 Springer Nature B.V
Predmet:	Algorithms Combinatorial analysis Compilers Computer Science Convergence Design engineering Design optimization Foraging behavior Genetic algorithms Global optimization Heuristic methods Interpreters Neural networks Nonlinear control Optimization algorithms Performance evaluation Processor Architectures Programming Languages Statistical tests Engineering design problems Metaheuristics Chaos theory Dwarf mongoose optimization algorithm
ISSN:	0920-8542, 1573-0484
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