Developing a framework for optimizing the cost of materials for construction projects using BIM and the Particle Swarm Optimization algorithm
doi:10.4121/a3bc906c-3dd9-407c-af50-b95b48302bed.v1
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doi: 10.4121/a3bc906c-3dd9-407c-af50-b95b48302bed
doi: 10.4121/a3bc906c-3dd9-407c-af50-b95b48302bed
Datacite citation style:
Ghanbari, Milad; Salari, Mahdi; Skitmore, Martin; Alipour, Majid (2023): Developing a framework for optimizing the cost of materials for construction projects using BIM and the Particle Swarm Optimization algorithm. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/a3bc906c-3dd9-407c-af50-b95b48302bed.v1
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Collection
This paper develops a framework to rapidly process and analyze a large volume of data relating to material costs by integrating the particle swarm optimization (PSO) algorithm and building information modeling (BIM) so that project beneficiaries can choose the lowest-cost mix of materials.
history
- 2023-06-05 first online, published, posted
publisher
4TU.ResearchData