3-Dimentional path planning and movement control of red blood cell immersed in plasma medium among moving obstacles

This research focuses on planning the 3-dimensional path and controlling the movement of red blood cells in a blood plasma medium among moving obstacles. This research evaluates the performance of genetic algorithm and fuzzy logic control in navigating red blood cells through such environments. Results show that both methods achieve high path efficiency, with genetic algorithm at 90.75% and fuzzy logic control at 88.31%. fuzzy logic control demonstrated faster computation times, making it suitable for fewer or unpredictable obstacles, while genetic algorithm is preferable for environments with many or predictable obstacles.