Abstract
Modern construction projects involve many aspects, frequent safety accidents also show that the traditional project management model has been unable to adapt to large-scale complex construction projects. An advanced method is needed to deal with the growing construction projects. Based on this, this paper proposes a multi-objective optimization research of construction project based on multi ant colony algorithm. Taking the construction period, cost and quality of the construction project as the object of optimization, the pavement reconstruction project of Dongjiangyuan Avenue in Ganzhou City, Jiangxi Province is selected for demonstration. The results show that the multi-objective optimization method proposed in this paper accords with the reality. The total quality score of the optimized project is 79.6, the total cost is 4.05 million yuan, and the total construction period is 120 days.
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Yang, J. (2020). Multi-objective Optimization of Construction Project Based on Multi Ant Colony Algorithm. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_108
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DOI: https://doi.org/10.1007/978-3-030-43306-2_108
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