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Improved Hippo algorithm optimization strategy for heliostat field layout with dynamic time weighting
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DOI：10.1016/j.applthermaleng.2025.127598.png)
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Abstract
En 中文
• Proposed dynamic time-weighting to prioritize key periods and improve annual efficiency. • Developed Hippo algorithm with elite retention, Gaussian-Cauchy mutation, and adaptive differential evolution. • Applied localized quadratic optimization to refine peripheral heliostat layout post global design.
Keywords:
dynamic time-weighting
Hippo algorithm
Gaussian-Cauchy mutation
adaptive differential evolution
localized quadratic optimization
Journal
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6.9
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2.7W
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10.6W