Multiobjective Design of 2D Hyperchaotic System Using Leader Pareto Grey Wolf Optimizer
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/restrictedAccess
Özet
A chaotic system is a mathematical model exhibiting random and unpredictable behavior. However, existing chaotic systems suffer from suboptimal parameters regarding chaotic indicators. In this study, a novel leader Pareto grey wolf optimizer (LP-GWO) is proposed for multiobjective (MO) design of 2D parametric hyperchaotic system (2D-PHS). The MO capability of LP-GWO is improved by integrating a LP solution within the Pareto optimal set. The effectiveness of LP-GWO is corroborated through a comparison with regular MO versions of grey wolf optimizer (GWO), artificial bee colony, particle swarm optimization, and differential evolution. Additionally, the validation extends to the exploration of LP-GWO's performance across four variants of the 2D-PHS optimized by the compared algorithms. A 2D-PHS model with eight parameters is conceived and then optimized using LP-GWO by ensuring tradeoff between two objectives: Lyapunov exponent (LE) and Kolmogorov entropy (KE). A globally optimal design is chosen for freely improving the two objectives. The chaotic performance of 2D-PHS significantly outperforms existing systems in terms of precise chaos indicators. Therefore, the 2D-PHS has the best ergodicity and erraticity due to optimal parameters provided by LP-GWO.
Açıklama
Anahtar Kelimeler
Chaos, Vectors, Chaotic communication, Optimization, Pareto optimization, Heuristic algorithms, Linear programming, Chaotic system, grew wolf optimizer, modified algorithm, Pareto optimality, multiobjective (MO) optimization
Kaynak
IEEE Transactions on Systems, Man, and Cybernetics: Systems
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
Sayı
Künye
Toktas A., Erkan U., Ustun D., Lai Q.(2024).Multiobjective Design of 2D Hyperchaotic System Using Leader Pareto Grey Wolf Optimizer, IEEE Transactions on Systems, Man, and Cybernetics: Systems, s. 1-11, DOI: 10.1109/TSMC.2024.3401412
