<p>In traditional research, the optimisation of civil engineering construction resource scheduling often faces problems such as high computational complexity, local optimal solutions, and a lack of flexibility. In view of this situation, this paper applies an improved genetic algorithm (IGA) to solve the limitations of traditional methods by optimizing the computational efficiency, convergence and global search ability of the genetic algorithm, thereby improving the efficiency and accuracy of resource scheduling, reducing costs and construction period, and providing a new and efficient optimization method for civil engineering projects. In terms of algorithm design, this study comprehensively considers the three optimization objectives of construction period, cost and resource utilization, adopts a weighted synthetic fitness function, and applies an adaptive weight mechanism, so that the algorithm can dynamically adjust the weight of each objective according to the different needs of the evolution stage. In addition, the algorithm strictly abides by the constraints such as task dependency, resource constraints, and time windows in constraint processing, ensuring the feasibility of the scheduling scheme. Results from experiments demonstrate how well the IGA algorithm works for resource scheduling. When it comes to efficiency in the scheduling, the IGA has a high scheduling efficiency of 95% which is very good as compared to the control algorithm. Resource utilization in 10 tasks indicates that IGA has a high resource allocation efficiency with an average resource utilization rate of between 85 and 94. Finally, IGA provides a reliable and efficient method of resources schedule optimization in complex construction cases and could efficiently cut the costs of construction, enhance resource consumption, and decrease the construction time.</p>