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June 19, 2026IET Renewable Power GenerationOpen Access

Developing a Quadratic Interpolation Northern Goshawk Optimiser and Its Application for Solving Electrical Engineering Problems

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Authors

AAAhmed Hamed Ahmed AdamSKSalah KamelMHMohamed H. Hassan

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Overview

Randomized trial evaluates QINGO in solving electrical engineering problems, indicating improved optimisation performance.

Key Points

  • The aim is to develop and evaluate QINGO, a metaheuristic algorithm for solving complex optimisation problems.
  • Developed quadratic interpolation northern goshawk optimisation (QINGO) integrating two search strategies.
  • Evaluated performance on benchmark functions from CEC2017 and CEC2022.
  • Applied QINGO to parameter estimation in fuel cell and photovoltaic models.
  • QINGO shows superior performance over existing techniques on benchmark functions.
  • Demonstrates robust convergence, locating local and global optima effectively.
  • Successfully estimates parameters for various fuel cell and photovoltaic models.

Cite This Study

Adam et al. (2026) studied this question.

synapsesocial.com/papers/6a34de1265a5b0777af2d8a6https://doi.org/10.1049/rpg2.70284
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