Artificial hummingbird algorithm with chaotic-opposition-based population initialization for solving real-world problems

The artificial hummingbird algorithm is a global search mechanism with many applications in engineering design, but it tends to stall in high-dimensional problems with locally optimal solutions. To address this issue, this paper enhances an artificial hummingbird algorithm by using a chaos map and o...

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Vydáno v:	Neural computing & applications Ročník 37; číslo 27; s. 22529 - 22572
Hlavní autoři:	Kaur, Sumandeep, Kaur, Lakhwinder, Lal, Madan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.09.2025 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Benchmarks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Convergence Data Mining and Knowledge Discovery Design engineering Effectiveness Exploitation Foraging behavior Genetic algorithms Heuristic methods Hunting Image Processing and Computer Vision Leadership Machine learning Mathematical models Optimization Optimization algorithms Optimization techniques Physics Probability and Statistics in Computer Science S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Social behavior Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Statistical analysis Statistical tests Whales & whaling Wolves Artificial hummingbird Modified artificial hummingbird Opposition-based learning Metaheuristic algorithms Chaotic maps
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
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