<p>Optimizing tower crane layout planning (TCLP) is becoming increasingly essential for high-rise projects to mitigate construction cost overruns, safety hazards, and productivity inefficiencies. This research introduces a novel approach, called elite multi-objective colliding bodies optimization (EMOCBO) to address the complex challenges of TCLP by simultaneously minimizing tower crane operation time and associated costs in high-rise construction. The methodology involves developing a colliding bodies optimization (CBO) algorithm tailored for TCLP, integrating multiple objectives and constraints seamlessly. Two practical case studies demonstrate EMOCBO’s ability to generate non-dominated solutions, while comparative analysis with established multiple objective evolutionary algorithms confirms its effectiveness and efficiency. EMOCBO emerges as the preferred solution for optimizing tower crane layout planning, ensuring minimized operation time and costs in high-rise building projects.</p>