Metaheuristic Integration of Artificial Bee Colony and Whale Optimization Algorithms in BIM for Construction Scheduling

ABSTRACT Building Information Modelling (BIM) serves as a core technology in modern construction, integrating digital data modelling with virtual simulations to enhance coordination and project efficiency. This study proposes an automated resource allocation model within BIM frameworks, combining the Artificial Bee Colony (ABC) and Whale Optimization Algorithm (WOA) for optimized resource management. The proposed hybrid ABC–WOA approach streamlines resource allocation and decision‐making in construction scheduling. Results show improved resource utilization efficiency, cost reduction, and reduced project timelines, ultimately promoting a data‐driven, collaborative construction environment with enhanced productivity and performance outcomes. Building Information Modelling (BIM) plays a crucial role in modern construction by integrating data modelling with virtual representations, enabling efficient collaboration between real‐world construction elements and their digital counterparts. This paper proposes an automated resource allocation framework for BIM‐based systems, utilizing the combined power of the Artificial Bee Colony (ABC) and Whale Optimization Algorithm (WOA) to optimize resource distribution. The study explores the configuration of BIM‐based systems and collaboration platforms, emphasizing how these technologies improve the allocation of resources in construction projects. We delve into the operational mechanism of the proposed system, which leverages the ABC‐WOA optimization technique to enhance decision‐making in resource allocation.