Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach

Fan Yu1,2, Haoyun Zhang1,2, SiYe Zhang3

  • 1College of Civil Engineering and Architecture, China Three Gorges University, Yichang, 443002, China.

Scientific Reports
|June 11, 2026
PubMed
Summary

This study optimizes pervious concrete mix designs for low-noise pavements using Stacking ensemble learning and NSGA-II. The method balances acoustic, mechanical, and hydraulic properties, significantly improving sound absorption.

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