A Hybrid Tabu Search-Based Artificial Immune Algorithm for Construction Site Layout Optimization

Research and Development on Information and Communication Technology Pub Date : 2018-07-26 DOI:10.32913/rd-ict.vol2.no15.470

V. Quang, N. Truong, Vu Thi Thuy, H. X. Huan

引用次数: 0

Abstract

Layout of temporary facilities on a construction site is essential to enhance productivity and safety. It is a complex issue due to the unique nature of construction. This problem is validated as an NP-hard and one of the challenging problems in the field of construction management. In this paper, we proposed a hybrid algorithm, named topt-aiNet, to solve the construction site layout problem by combining the aiNet algorithm with Tabu search. Experimental results showed that the proposed algorithm outperformed the stateof-the-art ones. DOI: 10.32913/rd-ict.vol2.no15.470

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基于混合禁忌搜索的建筑工地布局优化人工免疫算法

建筑工地临时设施的布置对提高生产力和安全至关重要。由于建筑的独特性，这是一个复杂的问题。该问题是工程施工管理领域的np难题，也是具有挑战性的问题之一。本文提出了一种将aiNet算法与禁忌搜索相结合的混合算法topt-aiNet来解决建筑工地的布局问题。实验结果表明，该算法的性能优于现有算法。DOI: 10.32913 / rd-ict.vol2.no15.470

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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Research and Development on Information and Communication Technology

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