Molecular transporters generations based on ant colony algorithm for molecular and storage applications

Abstract

We proposes a new method of molecular transporters generations based on ant colony algorithm for molecular classification and storage applications. The transportation network of molecules via multi tweezers inside the close system can be manipulated in the same way of ant colony algorithm relationship. In the proposed method, we assign each of ants represents an individual tweezer. By using ant colony system, the random codes can be used to communicate between ants inside swarm with pheromone being formed the random network. The quantum state of transporters (individual ant) with different states and wavelengths can be represented by the pheromone. In application, this proposal can be an alternative random networking which may be use for communication security, where the fast multiple access may be plausible.