Simulation of routing in nano-manipulation for creating pattern with atomic force microscopy using hybrid GA and PSO-AS algorithms

Abstract

Avoiding collision of nano-particles during manipulation operations and selecting the best route and lowest Atomic Force Microscopy (AFM) movement are major concerns in the area of nano-space. To apply the lowest force on the cantilever from fluid environment forces, we try to minimize AFM movements. Our proposed method calculates the optimum routing for AFM probe movement for nano-particles transmission using hybrid GA (Genetic algorithm) and PSO-AS (Particle Swarm Optimization- Ant System) simulates it in various type of medium. We consider the collision of the probe with minor barriers. An optimized AFM path minimizes the time and energy required for nano-particle manipulation. For movement of the nano-particles, we seek an efficient probe pattern. A second goal is to transfer the nano-particles without undesired collision. The optimum routing method will increase the speed of the process. Our proposed model, utilizes both Mathematical and Matlab software to simulate the process. © 2011 Springer-Verlag.