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Experimental validation and surrogate-assisted evolutionary optimization on polyline-based core sandwich structures
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DOI：10.1016/j.engstruct.2026.123419.png)
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Abstract
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• Physical and numerical experiments jointly validate SAFSSS performance. • Multi-indicator non-dominated sorting driven dynamic population construction. • SAFSSS integrates SAEAs within MMC framework for efficient PCSSs optimization. • Sparse centers driven global exploration and optimized state driven local search. • Adaptive resource allocation balances exploration and exploitation.
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