Improved Newton-Raphson-based optimizer with gap evolution strategy for multiple engineering problems

doi:10.1016/j.apm.2025.116425

Improved Newton-Raphson-based optimizer with gap evolution strategy for multiple engineering problems

2025-09-09

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DOI：10.1016/j.apm.2025.116425

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• An improved Newton-Raphson-based optimizer is proposed for engineering problems. • A dynamic fitness-distance balance selection method is used to boost search ability. • A gap evolution strategy is proposed to help the algorithm jump out of local optima. • CEC2022 tests confirm the proposed algorithm outperforms nine competitors. • This algorithm applies successfully to multiple engineering application problems.

Improved Newton-Raphson-based optimizer with gap evolution strategy for multiple engineering problems

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