A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves

This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves (AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the forty thieves, where Ali Baba once saw a gang of forty thieves enter a strange cave filled with all kinds of treasures...

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Veröffentlicht in:	Neural computing & applications Jg. 34; H. 1; S. 409 - 455
Hauptverfasser:	Braik, Malik, Ryalat, Mohammad Hashem, Al-Zoubi, Hussein
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.01.2022 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Benchmarks Comparative studies Complexity Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Design engineering Global optimization Heuristic methods Image Processing and Computer Vision Original Article Probability and Statistics in Computer Science Statistical methods Statistical tests Optimization techniques Ali Baba and the forty thieves algorithm Nature-inspired algorithms Optimization Meta-heuristics
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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