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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Bibliographic Details
Published in:	Neural computing & applications Vol. 36; no. 10; pp. 5305 - 5332
Main Authors:	Abualigah, Laith, Al-qaness, Mohammed A. A., Abd Elaziz, Mohamed, Ewees, Ahmed A., Oliva, Diego, Cuong-Le, Thanh
Format:	Journal Article
Language:	English
Published:	London Springer London 01.04.2024 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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