Applying Machine Learning and Particle Swarm Optimization for predictive modeling and cost optimization in construction project management
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00843-7.pdf
Reference55 articles.
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2. Al Khazaleh, M., & Bisharah, M. (2023). Ann-based prediction of cone tip resistance with tabu-search optimization for geotechnical engineering applications. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-023-00693-3
3. Ali, Z. H., & Burhan, A. M. (2023). Hybrid machine learning approach for construction cost estimation: an evaluation of extreme gradient boosting model. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-023-00651-z
4. Ali, Z. H., Burhan, A. M., Kassim, M., & Al-Khafaji, Z. (2022). Developing an integrative data intelligence model for construction cost estimation. Complexity, 2022, 1–18. https://doi.org/10.1155/2022/4285328
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