Data-driven modeling of punchouts in CRCP using GA-optimized gradient boosting machine

Key Points

• Punchouts in CRCP can be effectively modeled, enhancing predictive accuracy.
• The study implements a gradient boosting machine optimized through a genetic algorithm.
• Data-driven approaches provide valuable insights for construction projects.
• These modeling techniques may lead to better decision-making in CRCP applications.