Nano carriers based targeted drug delivery path planning using hybrid particle swarm optimizer and artificial magnetic fields

When performing drug delivery for a certain disease, the effectiveness of a drug primarily depends on the affected cell, targeted doze and drug release time. In this paper, a novel optimum or near optimum real time targeted drug delivery system is proposed. Targeted path planning algorithm for nano particles based on particle swarm optimization approach and artificial potential field concepts used as virtual MRI (magnetic resonance Imaging) is proposed to solve the obstacle free targeted drug delivery process in a 3d virtual environment. At first stage 3d path planning scheme based on attractive and repulsive artificial potential field for obstacle free path in certain blood vessels is used. Later, an optimization process for all the discovered trajectories by combining particle swarm optimization algorithm is performed to generate an optimal path. Simulation results showed that proposed algorithm has higher success rate in targeting the drugs with a faster convergence rate towards the optimal solution by consuming less computation time (near optimal).