Metaheuristic optimization for efficient construction management of building projects

Abstract

Effective management of production systems in the construction industry requires a complex solution to 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 crises. The paper aims to explore the potential for adapting methods of metaheuristic optimization at the stage of earthworks to enhance intelligent construction management technologies. This will result in improving decision-making processes, optimizing production workflows, increasing productivity, and achieving 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 research findings allow us to optimize worker productivity during construction. The high reliability of the models obtained shows that metaheuristics can successfully improve construction processes, and digital transformation can be effectively implemented.