DEA2H2: differential evolution architecture based adaptive hyper-heuristic algorithm for continuous optimization

This paper proposes a novel differential evolution (DE) architecture based hyper-heuristic algorithm (DEA 2 H 2 ) for solving continuous optimization tasks. A representative hyper-heuristic algorithm consists of two main components: low-level and high-level components. In the low-level component, DE...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Cluster computing Ročník 27; číslo 9; s. 12239 - 12266
Hlavní autoři:	Zhong, Rui, Yu, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2024 Springer Nature B.V
Témata:	Ablation Adaptation Adaptive algorithms Computer Communication Networks Computer Science Deep learning Distance learning Effectiveness Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic Heuristic methods Mutation Operating Systems Operators (mathematics) Optimization Optimization techniques Performance evaluation Processor Architectures Searching Source code Statistical analysis Success Hyper-heuristic (HH) Success history knowledge Continuous optimization Differential evolution (DE)
ISSN:	1386-7857, 1573-7543
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!