基于遗传算法的工程造价优化研究
摘要
本文引入了遗传算法,一种模拟生物进化过程的搜索算法,来优化工程造价预测。首先,我们定义了问题并使用实数编码方法对解
进行编码。然后,通过定义一个基于预测误差的适应度函数,我们使用遗传算法的选择、交叉和变异操作来迭代地优化预测模型。
模型的有效性通过一个工程项目“阳光广场”进行了验证。结果表明,与传统方法相比,基于遗传算法的预测模型在准确性上有了
显著的提高。这为工程造价预测提供了一种新的、更为准确的方法,有助于决策者做出更为明智的决策。
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[1] M.-Y. Cheng,AF.V Roy. Evolutionary fuzzy decision
model for cash flowprediction using time-dependent support vector
machines[J]. International Journal ofProject Management,2011, 29
(1):56-65
[2] 张桂芹,张惠玲.国内外工程造价估算模型研究综述 J].
施工技术,200736(S2): 396-399
[3] Zhang Xiao-Seng. Research on full cycle cost Prediction
Model ofConstruction Engineering based on BIMJIOP Conf. Series:
Earth and EnvironmentalScience,2018,199
[4] Lee Jin-Kyu. A study on the prediction of the construction
cost in planningstage of local housing union projectJ]. Journal of the
Korea Academia-IndustrialCooperation
Society,2018,19(12):653-659
[5] Hyunseok-Moon, Lee Sung Kyun, Hong Taehoon, et al.
Cost prediction modelof public multi-housing projects in schematic
design phaselJ]. Korean Journal ofConstruction Engineering and
Management,2008,9(3):65-74.
[6] Hong TaeHoon,Hyun ChangTaek,Moon HyunSeok.
CBR-based costprediction model-Il of the design phase for
multi-family housing projects[J]. ExpertSystems with
Applications,2011,38(3): 2797-2808
[7] Kim KJ.. Kim K. Preliminary cost estimation model using
case-basedreasoning and genetic algorithms[Jl. Journal of
Computing in Civil Engineering, 2010.24(6): 499-505.
[8] Choi Seokjin, Kim Du Y, Han Seung H, et al. Conceptual
cost-predictionmodel for public road planning via rough set theory
and case-based reasoning[J]Journal of Construction Engineering and
Management,2014,140(1).
DOI: http://dx.doi.org/10.12361/2661-3522-05-08-145720
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