2022
DOI: 10.1155/2022/2411458
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Mixed Production Line Optimization of Industrialized Building Based on Ant Colony Optimization Algorithm

Abstract: Prefabricated components production line optimization is critical for improving industrialized building construction efficiency; however, few studies focus on the production line optimization problem in context of industrialized building construction. In order to optimize the large random orders in the prefabricated components production process, this research proposes a model to minimize variance of the production capacity utilization of prefabricated components in the production cycle, and the ant colony opt… Show more

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Cited by 4 publications
(3 citation statements)
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“…Two factors, which include the distance between two nodes and the pheromone density, are required when performing ACO. One significant trait of ACO is that as the route becomes shorter (i.e., Euclidean distance), the higher the pheromone density, so the ants can always trace the shortest route (Cheng, 2012;Dorigo et al, 2006). The result of a typical ACO contains two characteristics, including (1) each node can be visited only once and (2) the traverse always presents a globally optimal distance (Dorigo, 1996).…”
Section: Liter Ature Re Vie Wmentioning
confidence: 99%
See 1 more Smart Citation
“…Two factors, which include the distance between two nodes and the pheromone density, are required when performing ACO. One significant trait of ACO is that as the route becomes shorter (i.e., Euclidean distance), the higher the pheromone density, so the ants can always trace the shortest route (Cheng, 2012;Dorigo et al, 2006). The result of a typical ACO contains two characteristics, including (1) each node can be visited only once and (2) the traverse always presents a globally optimal distance (Dorigo, 1996).…”
Section: Liter Ature Re Vie Wmentioning
confidence: 99%
“…For other applications, ACO has been successfully applied to data mining to address classification and clustering tasks (Michelakos et al, 2010). In geospatial science, modified ACO integrating indoor GIS spatial attributes for evacuation route searching (Cheng, 2012) and scheduling problems (Deng et al, 2019) are achieved. With the growing interests and requirements of indoor navigation in the last decade, ACO has also expanded its potential applications to multi-depot vehicle routing (Narasimha et al, 2013) and mobile robot path planning (Dai et al, 2019).…”
Section: Liter Ature Re Vie Wmentioning
confidence: 99%
“…The existing studies on the production stage of PCTs mainly focus on factors such as production scheduling optimization, production informatization, and production cost. Some scholars have analyzed the production scheduling model and considered all the parties that comprise the supply chain; furthermore, they have utilized the following calculation methods: the multi-objective hybrid symbiotic search algorithm [9], the multiobjective genetic algorithm model [10], the productivity utilization variance minimization model [11], the ant colony optimization algorithm hybrid optimization model that considers continuity and discretization [12], the dynamic decision support framework that is based on a genetic algorithm and a multi-agent system [13], and the MO-CGJaya/D algorithm [14]. Moreover, some scholars have focused on the informatization of the production stage.…”
Section: Introductionmentioning
confidence: 99%