This paper presents a novel Adaptive Genetic Algorithm for optimal path planning of multiple
nanoparticles during the nanomanipulation process. The proposed approach determines …

In this paper, a hybrid co-evolutionary genetic algorithm (HCGA) has been presented for
determining the optimal moving paths of several nanoparticles in a complex environment. In …

Because of the extensive use of AFM in the displacement of nanoparticles, this paper has
focused on the modeling and dynamical analysis of cylindrical nanoparticles during 3D …

Due to the growing use of Atomic Force Microscope (AFM) nanorobots in the moving and
manipulation of cylindrical nanoparticles (carbon nanotubes and nanowires) and the fact …

Over the past two decades, the manipulation of nanoparticles has attracted increasing
attention. This process provides essential information about tribology, which is of great …

Recently, Atomic Force Microscope (AFM) based nanorobots have emerged as the ultimate
tool for assembling nanostructures. The main obstacle in precise nano-manipulation is the …

Due to the substantial complexities of atomic force microscope (AFM)-based dynamic
manipulation models, these models require the identification of many parameters and inputs …

Nowadays, the displacement of nanoparticles by means of the atomic force microscope
nanorobot is widely used in nanomanufacturing process. Because of not being able to …

With the extensive use of the Atomic Force Microscope (AFM) as a tool for assembling
biological nano scale structures and the inability of real-time monitoring, the use of computer …

Despite the promising results in magnetic nanoparticles (MNPs) based targeted drug
delivery (TDD), the aggregation of the magnetic nanoparticles deteriorates targeting …