Abstract
In recent years, a number of studies have successfully transformed various models for biological collective behavior into intelligent optimization algorithms. These bio-inspired optimization techniques have been developed to provide better solutions than traditional methods to a variety of engineering problems. This paper attempts to apply and compare recent bio-inspired algorithms for determining the best layout of construction temporary facilities. To validate the performance of the proposed techniques, an actual building construction project was used as a test problem. Based on the obtained results, the performance of each bio-inspired algorithm is highlighted and discussed. This paper presents beneficial insights to decision-makers in the construction industry that are involved in handling optimization problems.
Highlights
Construction site layout planning (CSLP) has a significant effect on labor productivity; it must be taken into early consideration in the planning stage [1]
One case study was used to test the performance of Symbiotic organisms search (SOS) adopted from the layout of a multi-story building project in Surabaya
particle swarm optimization (PSO) and artificial bee colony (ABC) were appointed as a comparison
Summary
Construction site layout planning (CSLP) has a significant effect on labor productivity; it must be taken into early consideration in the planning stage [1]. Symbiotic organisms search (SOS) is a bio-inspired algorithm proposed by Cheng and Prayogo [10] and, far, it has been employed in various engineering optimization studies [11,12,13,14,15,16,17,18,19,20,21]. This algorithm simulates mutualism, commensalism, and parasitism, which are biological collective behaviors occurring among living organisms in an ecosystem.
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