Sarcouncil Journal of Engineering and Computer Sciences

Abstract: High-end visual effects (VFX) simulations are central to achieving photorealistic digital content in contemporary production environments; however, their computational intensity often leads to extended production timelines and increased resource demands. This study investigates the feasibility of reducing simulation runtime without compromising output visual fidelity through the implementation of structured optimization strategies. A simulation–optimization framework was employed by integrating key performance variables such as Resolution Scaling, Adaptive Sampling Rate, Solver Iteration Depth, Hardware Parallelization Factor, Cache Optimization Frequency, Mesh Complexity Index, and Proxy Preview Utilization. The impact of these parameters was evaluated using dependent performance indicators including Simulation Runtime, Render Convergence Time, Memory Utilization Efficiency, Output Visual Fidelity Index, and Temporal Stability Index. Statistical modeling and Random Forest–based feature importance analysis revealed that Adaptive Sampling Rate and Resolution Scaling were the most influential variables in achieving runtime reductions while preserving simulation accuracy. Optimized workflows demonstrated significant improvements in production efficiency across multiple simulation categories with minimal perceptual deviation from baseline outputs. The findings highlight the effectiveness of performance-aware optimization frameworks in enabling scalable and quality-preserving VFX simulation pipelines, thereby supporting faster production cycles in simulation-intensive digital environments.