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Construction and analysis of multi-objective scheduling optimization model for horizontal
transportation of concrete dam construction based on HC-PGA
1 1 1 1 1 2
CUI Bo ，ZHAO Kehao ，TONG Dawei ，CAI Zhijian ，SONG Benyang ，ZHANG Xiaojun
（1. State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation，Tianjin University，Tianjin 300350，China；
2. Sichuan Port investment Group Minjiang Longxikou general contracting project department，Leshan 614400，China）
Abstract：In the construction schedule and cost management of concrete dam projects，it is urgent to consider the
optimization scheme of horizontal transportation dispatch of dam materials，slag materials，and aggregate. However，
the strict logical relationships in the path planning and task allocation bring high constraint genetic operator problems
that cannot be effectively solved by conventional algorithms. In this paper，the basic logic of concrete dam transport
vehicle dispatch is sorted out firstly，and a multi-objective optimization dispatch mathematical model for concrete
dam construction level transportation is established. Then，the Partheno-Genetic Algorithm （PGA）is used as the
main optimization means，and the Hamiltonian loop optimization is used to screen the initial solution. The Logistic
chaotic mapping is used to determine the position of the Partheno-Genetic Algorithm mutation operator to improve the
high constraint problem caused by the road conditions and transportation task logic of the concrete dam construction
site. The High-constraint Partheno-Genetic Algorithm （HC-PGA） algorithm is proposed for the construction and
analysis of the multi-objective level transportation dispatch optimization model for concrete dam transportation con‐
struction. Finally，the above model is applied to the transport vehicle dispatch of a concrete dam project in southwest
China. The engineering practice results show that compared with the conventional genetic algorithm model and tradi‐
tional manual experience scheduling method utilized in the static scheduling situation，the model proposed in this
paper can save approximately 17.86% and 50.13% of transportation costs，respectively，and improve operation effi‐
ciency by 16.7% and 50%，respectively. It can also achieve dynamic scheduling and has advantages in improving the
efficiency of concrete dam transportation，optimizing transport distances，reducing costs，and minimizing energy con‐
sumption.
Keywords： concrete dam construction； horizontal transport； multi-objective scheduling optimization； High-
constraint Partheno-Genetic Algorithm
（责任编辑：韩 昆）
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