采用离散粒子群算法对施工现场塔吊及供电设施的位置进行优化

Dung Bui, N. D. Bui
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引用次数: 0

摘要

施工现场塔吊位置和物料供应点的优化定位是一项重要任务,也是一个复杂的组合问题。元启发式是解决这类问题的流行而有效的技术。本文介绍了离散整数变量的标准粒子群优化算法(PSO)在塔机和物料供应点位置优化问题中的应用。建立了计算程序,并进行了2种情况下的数值试验。结果表明了粒子群算法的性能和算法在与所考虑的问题类似的技术问题中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimize location tower crane and supply facilities on construction site by discrete PSO algorithm
The optimal positioning of tower crane locations and material supply points on the construction site is an important task and is considered a complex combinatorial problem. Metaheuristics are popular and effective techniques for solving such problems. This paper introduces the application of the standard Particle Swarm Optimization (PSO) algorithm with discrete integer variables to solve the problem of optimizing the position of tower cranes and material supply points. A calculation program was built and numerical tests with 2 scenarios was conducted. The results show the performance of PSO and the applicability of the algorithm in the class of technical problems similar to the one under consideration.
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