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Integrated multi-objective optimization for multi-head collaborative 3D concrete printing via a Trinary-Tree Enhanced Genetic Algorithm
DOI:10.1016/j.autcon.2026.106978.png)
Abstract
En 中文
• Builds an integrated multi-objective model balancing efficiency, quality, safety. • Develops TTE-GA solver for globally coupled, interference-free collaborative planning. • Designs a comprehensive validation framework to verify feasibility and efficacy.
Keywords:
multi-objective optimization
3D concrete printing
collaborative planning
Trinary-Tree Enhanced Genetic Algorithm
efficiency and quality balance
Journal
IF:
11.5
Papers:
6.2K
Citations:
4.2W
Organization
No organization information available

