Department of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China.
China Study Centre, Karakoram International University, Gilgit -Baltistan, Pakistan.
PLoS One. 2023 Feb 9;18(2):e0278634. doi: 10.1371/journal.pone.0278634. eCollection 2023.
The importance of the time-cost-quality trade-off problem in construction projects has been widely recognized. Its goal is to minimize time and cost and maximize quality. In this paper, the bonus-penalty mechanism is introduced to improve the traditional time-cost model, and considering the nonlinear relationship between quality and time, a nonlinear time-cost quality model is established. Meanwhile, in order to better solve the time-cost-quality trade-off problem, a multi-objective immune wolf colony optimization algorithm has been proposed. The hybrid method combines the fast convergence of the wolf colony algorithm and the excellent diversity of the immune algorithm to improve the accuracy of the wolf colony search process. Finally, a railway construction project is taken as an example to prove the effectiveness of the method.
在建设项目中，时间-成本-质量权衡问题的重要性已得到广泛认可。其目标是最小化时间和成本，最大化质量。在本文中，引入了奖惩机制来改进传统的时间-成本模型，并考虑到质量和时间之间的非线性关系，建立了非线性的时间-成本-质量模型。同时，为了更好地解决时间-成本-质量权衡问题，提出了一种多目标免疫狼群优化算法。该混合方法结合了狼群算法的快速收敛性和免疫算法的优良多样性，提高了狼群搜索过程的准确性。最后，以铁路建设项目为例，验证了该方法的有效性。
