Optimizing parameters for 4D hyperchaotic system using Walrus Optimizer Algorithm

Main Article Content

Karam Adel Abed

karamadel@uomosul.edu.iq

https://orcid.org/0000-0003-0833-4614
Omar Saber Qasim

omar.saber@uomosul.edu.iq

https://orcid.org/0000-0003-3301-6271
Saad Fawzi Al-Azzawi

saad_alazawi@uomosul.edu.iq

https://orcid.org/0000-0002-8198-8035

Abstract

The walrus optimization Algorithm’s (WaOA) crucial significance in improving and creating a hyperchaotic system is the main topic of this study. We have enlarged the six-term, three-dimensional chaotic Liu system to a four-dimensional system with seven terms. In order to create hyperchaotic behaviour with great efficiency, the WaOA algorithm is utilized to optimize the system parameters in order to maximize the biggest Lyapunov exponent. The system’s dynamic features, such as the study of equilibrium points, the Jacobian matrix, Lyapunov exponent, coexistence, and the Lyapunov dimension (Kaplan-Yorke), have all been fully examined. Simulations of the suggested system utilizing NI Multisim (version 14.2) for electrical circuit simulation have shown the algorithm’s efficacy. The work demonstrates the WaOA algorithm’s noteworthy contribution to enhancing hyperchaotic systems performance and broadening their useful applications in a variety of domains.

Keywords:

metaheuristic, walrus optimizer algorithm, hyperchaotic system, circuit implementation

References

Article Details

Abed, K. A., Qasim, O. S., & Al-Azzawi, S. F. (2026). Optimizing parameters for 4D hyperchaotic system using Walrus Optimizer Algorithm. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 16(2), 107–112. https://doi.org/10.35784/iapgos.7280