Building Performance Optimization Through BIM And Hybrid Metaheuristic Algorithms: A Fusion Of Artificial Bee Colony And Whale Optimization Techniques

Abstract

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. Results indicate that the proposed system significantly improves the efficiency of resource utilization, reduces overall construction costs, and accelerates project timelines by streamlining resource management processes. The system contributes to the creation of an integrated, data-driven environment that fosters better construction practices and ensures optimal allocation of resources, leading to increased productivity, reduced costs, and improved project outcomes.