August 21, 2025SymmetryOpen Access

Symmetry-Guided Surrogate-Assisted NSGA-II for Multi-Objective Optimization of Renewable Energy Systems

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This novel approach improves run-time efficiency and solution diversity for optimizing renewable energy systems.
Experiments demonstrate the method outperformed baseline NSGA-II in diverse solutions and faster convergence.
The approach integrates surrogate modeling to reduce computational costs while enhancing the optimization process.
Incorporating symmetrical patterns in energy profiles highlights the potential for intelligent optimization solutions.

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Hybrid metaheuristic method improves solution diversity and convergence in renewable energy, indicating efficiency gains.

Manuel J. C. S. Reis (2025) studied this question.

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