@ARTICLE{Jakubczyk-Gałczyńska_Anna_Metaheuristic_Early,
 author={Jakubczyk-Gałczyńska, Anna and Siemaszko, Agata and Poltavets, Maryna},
 pages={e15030},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 howpublished={online},
 year={Early Access},
 abstract={Effective management of production systems in the construction industry requires a complex solution of organizational and technical problems related to the coordination of heterogeneous optimization criteria performance. The primary impediment to real estate development is the complexity of making informed management decisions. Conflicting interests among various stakeholders can lead to disruptions in production processes and potential crisis situations. The aim of article is to explore the potential for adapting metaheuristic optimization methods on step of earthworks enhance intelligent construction management technologies. This will result in improving decision-making processes, optimize production workflows, increase productivity, and achieve strategic objectives. This research is inspired by the mechanisms of biological systems in nature. The innovation of the study described in the article lies in the development of an automated control algorithm based on metaheuristics, which broadens the application of digital information technologies across the stages of design, modeling, implementation of construction projects, and quality management of building operations. The result of the research allows us to optimize worker productivity during building construction. The high reliability of the models obtained clearly shows that metaheuristics can successfully improve construction processes and digital transformation can be effectively implemented.},
 type={Article},
 title={Metaheuristic Optimization for Efficient Construction Management of Building Projects},
 URL={http://ochroma.man.poznan.pl/Content/135303/PDF-MASTER/BPASTS-05095-EA.pdf},
 doi={10.24425/bpasts.2025.155030},
 keywords={process optimization, machine learning, metaheuristic methods, sustainable projects, effectie management},
}