The non-monopolize search (NO): a novel single-based local search optimization algorithm

Several optimization-based population search methods have been proposed; they use various operators that permit exploring the search space. These methods typically suffer from local search (LS) problems and are unbalanced between exploration and exploitation. Consequently, recent researchers sought...

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Vydáno v:	Neural computing & applications Ročník 36; číslo 10; s. 5305 - 5332
Hlavní autoři:	Abualigah, Laith, Al-qaness, Mohammed A. A., Abd Elaziz, Mohamed, Ewees, Ahmed A., Oliva, Diego, Cuong-Le, Thanh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.04.2024 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Exploitation Image Processing and Computer Vision Operators Optimization Optimization algorithms Optimization techniques Original Article Probability and Statistics in Computer Science Search methods Optimization problems Non-monopolize search (NO) Local search optimization Metaheuristic algorithms
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
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