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<p>The Nutcracker Optimization Algorithm (NOA) is a novel nature-inspired meta-heuristic algorithm. The inversion of Rayleigh surface wave dispersion curves is a complex iterative optimization problem involving multiple parameters and multipolar values. Traditional global optimization algorithms, such as particle swarm optimization and simulated annealing algorithms, often suffer from premature convergence and a tendency to become trapped in local optima when applied to dispersion curve inversion. To address these challenges, the Nutcracker Optimization Algorithm (NOA) was applied to the inversion of dispersion curves. Inversion analyses of several typical geological theoretical models and measured data from the Qing Liangshan area of Xi’an City demonstrated that NOA exhibits strong applicability, stability, and noise resistance in the inversion of Rayleigh surface wave frequency dispersion curves.</p>

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Inversion of Rayleigh surface wave dispersion curves based on the NOA algorithm

  • 期刊论文

  • 发表日期：

    2026年3月11日

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  • Gao-feng Yue,
  • Yin-ting Wu

摘要

The Nutcracker Optimization Algorithm (NOA) is a novel nature-inspired meta-heuristic algorithm. The inversion of Rayleigh surface wave dispersion curves is a complex iterative optimization problem involving multiple parameters and multipolar values. Traditional global optimization algorithms, such as particle swarm optimization and simulated annealing algorithms, often suffer from premature convergence and a tendency to become trapped in local optima when applied to dispersion curve inversion. To address these challenges, the Nutcracker Optimization Algorithm (NOA) was applied to the inversion of dispersion curves. Inversion analyses of several typical geological theoretical models and measured data from the Qing Liangshan area of Xi’an City demonstrated that NOA exhibits strong applicability, stability, and noise resistance in the inversion of Rayleigh surface wave frequency dispersion curves.