考虑资金时间价值的PAAA算法在项目进度中的网络综合优化

Yuansheng Huang, Qingchao Liu, Zilong Qiu
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引用次数: 1

摘要

本文从如何通过优化工程网络进度获得最大效益的角度出发,采用系统的方法对施工进度进行控制,提出了考虑成本、资源供给和潜在不确定性影响的综合优化数学模型。然后通过改变选择策略和局部搜索策略,提出了蚁群算法与粒子群优化算法(PAAA)相结合的方法,并将其应用于模型优化过程中。最后通过算例验证了该方法的有效性。
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Network Synthetic Optimization in Project Schedule by Using PAAA Algorithm and Considered of Time Value of Money
From the view of how to get the biggest benefits by optimizing the project network schedule, the paper uses systemic method of controlling the construction schedule and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the influence of latent uncertainties. Then by changing the choose strategy and the local search strategy, the combining ant colony algorithms and particle swarm optimization algorithms (PAAA) is proposed and applied in the process of optimizing the model. Finally, an example is used to prove the method is effective.
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