Parameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithm
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London Ltd
Erişim Hakkı
info:eu-repo/semantics/restrictedAccess
Özet
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 six parameters is first conceived and then optimized using Pareto-based triple objective artificial bee colony (PT-ABC) algorithm. Pareto optimality is employed to catch the trade-off among the objectives: Lyapunov exponent (LE), sample entropy (SE), and Kolmogorov entropy (KE). A global optimal design including the six parameters is selected for minimizing the reciprocal of the three objectives independently. The chaotic performance of PCM is verified through an evaluation with bifurcation diagram, attractor, LE, SE, KE, and correlation dimension. The results are also validated by comparison with those of which reported elsewhere. Furthermore, the applicability of PCM is examined over image encryption and the results are compared with existing chaos-based IEs. Therefore, the PCM manifests the best ergodicity and complexity thanks to its PT-ABC algorithm.
Açıklama
Anahtar Kelimeler
Chaotic system, Image encryption, Multi-objective optimization, Pareto optimization, Computational complexity, Cryptography, Pareto principle, Parameter estimation, Lyapunov methods, Image processing, Entropy, Economic and social effects, Sample entropy, Parameter optimization, Artificial bees, Multi-objectives optimization, Lyapunov exponent, Kolmogorov entropies, Images encryptions, Chaotic map, Bee colony algorithms, Multiobjective optimization
Kaynak
Neural Computing and Applications
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
35
Sayı
18
Künye
Toktas, A., Erkan, U., Ustun, D. ve Xingyuan, W. (2023). Parameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithm. Neural Computing and Applications 35, 13207–13223. https://doi.org/10.1007/s00521-023-08434-y
