Enhanced crayfish optimization algorithm with differential evolution’s mutation and crossover strategies for global optimization and engineering applications

Optimization algorithms play a crucial role in solving complex challenges across various fields, including engineering, finance, and data science. This study introduces a novel hybrid optimization algorithm, the Hybrid Crayfish Optimization Algorithm with Differential Evolution (HCOADE), which addre...

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Vydané v:	The Artificial intelligence review Ročník 58; číslo 3; s. 69
Hlavní autori:	Maiti, Binanda, Biswas, Saptadeep, Ezugwu, Absalom El-Shamir, Bera, Uttam Kumar, Alzahrani, Ahmed Ibrahim, Alblehai, Fahad, Abualigah, Laith
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Nature B.V 01.03.2025
Predmet:	Algorithms Comparative analysis Convergence Design engineering Design optimization Engineering Evolutionary algorithms Evolutionary computation Experiments Exploitation Function words Global optimization Mutation Optimization Optimization algorithms Particle swarm optimization Performance evaluation Search algorithms Social behavior Social factors Solution space Strategies Tests Whales & whaling Winners
ISSN:	1573-7462, 0269-2821, 1573-7462
On-line prístup:	Získať plný text
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