文章摘要
马桂珍,王刚.利用QPSO算法的装配式建筑项目工序优化方法[J].机床与液压,2018,46(12):111-115
利用QPSO算法的装配式建筑项目工序优化方法
Optimization method of prefabricated building project procedure based on QPSO algorithm
  
DOI:10.3969/j.issn.1001-3881.2018.12.019
中文关键词: 装配式建筑  工序优化  量子粒子群优化  施工工期与成本
英文关键词: Prefabricated building, Project procedure optimization, Quantum particle swarm optimization, Construction duration and cost
基金项目:
作者单位E-mail
马桂珍 新疆建设职业技术学院 建筑工程学院 mgz6133@163.com 
王刚 新疆建设职业技术学院 建筑工程学院  
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中文摘要:
      针对装配式建筑项目中工序的合理安排问题,提出一种基于量子粒子群优化(QPSO)的工序优化方法。首先对项目工序进行编码,使其能够以量子形式表示。然后,根据综合考虑施工工期和成本的目标函数,利用QPSO算法对工序方案其进行寻优,得到最优方案。另外,为了提高QPSO算法的收敛能力,融入了变异机制来避免其陷入局部最优。在一个装配式住宅项目案例中的实验结果表明:提出的方法能有效降低项目工期和成本,具有较高的实用价值。
英文摘要:
      Aiming at the reasonable arrangement of prefabricated building project procedure, an optimization method of procedure based on Quantum behaved Particle Swarm Optimization (QPSO) is proposed in this paper. The project process is first coded so that it can be expressed in quantum form. Then, based on the objective function considering the construction period and cost, QPSO algorithm is used to optimize the working plan to get the optimal solution. In addition, in order to improve the convergence ability of QPSO algorithm, a mutation mechanism is incorporated to avoid its falling into local optimum. The experimental results in a case of a prefabricated residential project show that the proposed method can effectively reduce the project duration and cost, and it has high practical value.
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