基于改进NSWOA优化算法的水库清淤施工多目标优化

Multi-objective Optimization of Reservoir Dredging Based on Improved NSWOA Optimization Algorithm

为解决水库清淤工程中工期、成本和质量之间的多目标优化问题,提出了一种综合考虑这3个方面的优化模型。首先,通过分析水库清淤工程各施工工序的特点,建立了工期、成本和质量的多目标优化模型。然后,采用自适应权重更新、变螺旋位置更新和最优邻域扰动对鲸鱼优化算法进行改进。接着,采用改进的多目标鲸鱼优化算法对其求解。通过案例分析,验证了该模型的有效性,结果表明:该模型能够在保证质量的前提下,有效地缩短工期并降低成本,为水库清淤工程的多目标优化提供了一种有效的决策支持工具。

In order to solve the multi-objective optimization problem among construction period,cost and quality in reservoir dredging project,an optimization model considering these three aspects is proposed.Firstly,by analyzing the characteristics of each process of reservoir dredging project,a multi-objective optimization model of construction period,cost and quality is established.Then,the whale optimization algorithm is improved by adaptive weight update,variable spiral position update and optimal neighborhood perturbation.Finally,the improved multi-objective whale optimization algorithm is used to solve the model.The effectiveness of the model is verified by case analysis.The results show that the model can effectively shorten the construction period and reduce the cost under the premise of ensuring quality,which provides an effective decision support tool for the multi-objective optimization of reservoir dredging project.