Multi-attention-powered learning genetic algorithm for real-world 3D wind farm layout optimization

Jiaru Yang

doi:10.1016/j.swevo.2025.102018

Multi-attention-powered learning genetic algorithm for real-world 3D wind farm layout optimization

2025-06-28

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AI

DOI：10.1016/j.swevo.2025.102018

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• We propose a multi-attention-powered learning Genetic algorithm. • ALGA is applied to real-world 3D wind farm layout optimization. • This attention-learning mechanism enhances the quality of optimization results. • Results on two case studies show that ALGA outperforms other state-of-the-art methods.

Multi-attention-powered learning genetic algorithm for real-world 3D wind farm layout optimization

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