Parameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithm

Chaotic map is a kind of discrete chaotic system. The existing chaotic maps suffer from optimal parameters in terms of chaos measurements. In this study, a novel approach of optimization of parametric chaotic map (PCM) using triple objective optimization is presented for the first time. A PCM with s...

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Veröffentlicht in:	Neural computing & applications Jg. 35; H. 18; S. 13207 - 13223
Hauptverfasser:	Toktas, Abdurrahim, Erkan, Uğur, Ustun, Deniz, Wang, Xingyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Chaos theory Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Design parameters Entropy Image Processing and Computer Vision Liapunov exponents Optimization Original Article Pareto optimum Probability and Statistics in Computer Science Search algorithms Swarm intelligence Pareto optimization Image encryption Multi-objective optimization Chaotic system
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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