A Comparative Study on Bio-Inspired Algorithms in Layout Optimization of Construction Site Facilities

D. Prayogo, Jessica Chandra Sutanto, Hieronimus Enrico Suryo, Samuel Eric
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引用次数: 7

Abstract

A good arrangement of site layout on a construction project is a fundamental component of the project’s efficiency. Optimization on site layout is necessary in order to reduce the transportation cost of resources or personnel between facilities. Recently, the use of bio-inspired algorithms has received considerable critical attention in solving the engineering optimization problem. These methods have consistently provided better performance than traditional mathematical-based methods to a variety of engineering problems. This study compares the performance of particle swarm optimization (PSO), artificial bee colony (ABC), and symbiotic organisms search (SOS) algorithms in optimizing site layout planning problems. Three real-world case studies of layout optimization problems have been used in this study. The results show that SOS has a better performance in comparison to the other algorithms. Thus, this study provides useful insights to construction practitioners in the industry who are involved in dealing with optimization problems
建筑工地设施布局优化中的仿生算法比较研究
在建设项目中,良好的场地布置是项目效率的基本组成部分。为了降低资源或人员在设施之间的运输成本,优化场地布局是必要的。最近,在解决工程优化问题中,生物启发算法的使用受到了相当大的关注。对于各种工程问题,这些方法始终比传统的基于数学的方法提供更好的性能。本研究比较了粒子群优化(PSO)、人工蜂群(ABC)和共生生物搜索(SOS)算法在优化站点布局规划问题中的性能。本研究使用了三个实际案例来研究布局优化问题。结果表明,与其他算法相比,SOS具有更好的性能。因此,本研究为行业中涉及处理优化问题的建筑从业人员提供了有用的见解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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15
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24 weeks
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