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January 25, 2026Symmetry0 citationsOpen Access

A New Hyperchaotic Map and Its Manifold of Conditional Symmetry

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ZHZhenxin HuCLChunbiao LiXQXihan Qi

Key Points

  • This research aims to explore a new hyperchaotic map's properties and its applications in optimization algorithms.
  • Developed a novel two-dimensional hyperchaotic map with conditional symmetry.
  • Implemented the evolution of discrete sequences using a microcontroller of CH32V307.
  • Tested hyperchaotic sequence-injected Ant Colony Optimization (ACO), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA) in various applications.
  • Three optimization algorithms demonstrated improved convergence performance.
  • Enhanced global search capabilities were observed in path planning experiments.
  • Robotic path smoothness was significantly better compared to original algorithms.

Abstract

In this work, the polarity balance of a novel two-dimensional hyperchaotic map is considered, and thus the corresponding manifold of conditional symmetry is coined. The unique map has a simple structure but provides direct 2-D offset boosting, which brings the possibility for the construction of conditional symmetry by introducing an absolute value function. The corresponding evolution of the discrete sequences from the system is verified by the circuit implementation based on the microcontroller of CH32V307. The pseudorandom data from the map increases its adaptability for applications in information security. The hyperchaotic sequence-injected Ant Colony Optimization (ACO), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA) show their improved performance in the optimization algorithm. Robot path planning experiments confirm that all three algorithms exhibit superior convergence performance, global search capability, and path smoothness compared with the original algorithms.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6975b1cefeba4585c2d6d3e9https://doi.org/10.3390/sym18020212
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