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Construction Site Layout Planning Problem Using Metaheuristic Algorithms: A Comparative Study

机译:基于元启发式算法的建筑工地布局规划问题的比较研究

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摘要

Material handling is one of the essential activities in the construction industry. Suitable location of facilities in the construction site can affect the costs and duration of the construction material handling process. The construction site layout planning to supply material and engineering demands within the minimum transportation distance is a quadratic assignment problem. Metaheuristics are widely used to solve construction site layout planning problems. In this article, the performance of four metaheuristic algorithms called charged system search, whale optimization algorithm, vibrating particles system, and enhanced vibrating particles system (EVPS) are compared in terms of their effectiveness in resolving a practical construction site layout problem. Results show that EVPS performs better than the other three methods.
机译:物料搬运是建筑行业的基本活动之一。施工现场设施的合适位置会影响施工材料处理过程的成本和时间。在最小运输距离内满足材料和工程需求的建筑工地布局规划是一个二次分配问题。元启发法被广泛用于解决建筑工地布局规划问题。在本文中,从解决实际施工现场布局问题的有效性方面比较了四种元启发式算法的性能,这些算法称为带电系统搜索,鲸鱼优化算法,振动粒子系统和增强振动粒子系统(EVPS)。结果表明,EVPS的性能优于其他三种方法。

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