Integrated Multi-Objective Optimization for Multi-Head Collaborative 3D Concrete Printing via a Trinary-Tree Enhanced Genetic Algorithm (2026-04)¶
Lv Liping, He Jing, Chen Jiazhe, Xu Dan, ,
Journal Article - Automation in Construction, Vol. 187, No. 106978
Abstract
Multi-head collaborative path planning for 3D concrete printing (3DCP) is essential for improving forming quality and construction efficiency. Existing methods are stage-wise, decoupling task allocation, interference-free coordination, and path sequencing, which fragments feasibility and limits global optimality. This paper develops an integrated multi-objective model and a Trinary-Tree Enhanced Genetic Algorithm (TTE-GA)-based solver for multi-head 3DCP. A topology-aware method converts sliced geometries into discrete tasks, while the model jointly characterizes allocation rationality, collaborative efficiency, and path-related forming quality. The TTE-GA solver then enables globally coupled, interference-free, high-quality planning. Experiments demonstrate 98.29% average task balance, reduced idle travel and sharp turns, and robust performance across diverse collaborative settings.
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0 Citations
BibTeX
@article{lv_he_chen_xu.2026.IMOOfMHC3CPvaTTEGA,
author = "Liping Lv and Jing He and Jiazhe Chen and Dan Xu and Chao Liu and Zongfang Ma",
title = "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",
year = "2026",
journal = "Automation in Construction",
volume = "187",
pages = "106978",
}
Formatted Citation
L. Lv, J. He, J. Chen, D. Xu, C. Liu and Z. Ma, “Integrated Multi-Objective Optimization for Multi-Head Collaborative 3D Concrete Printing via a Trinary-Tree Enhanced Genetic Algorithm”, Automation in Construction, vol. 187, p. 106978, 2026, doi: 10.1016/j.autcon.2026.106978.
Lv, Liping, Jing He, Jiazhe Chen, Dan Xu, Chao Liu, and Zongfang Ma. “Integrated Multi-Objective Optimization for Multi-Head Collaborative 3D Concrete Printing via a Trinary-Tree Enhanced Genetic Algorithm”. Automation in Construction 187 (2026): 106978. https://doi.org/10.1016/j.autcon.2026.106978.