Implementing Two Recent Techniques for Delivering Nano-robots to Cancer Area

Abstract

Recently, it has been proposed to use Nano-robots in cancer treatment. These Nano-robots are injected in the human body. Then they travel through the blood vessels searching for cancer cells. After reaching these cells, the Nano-robots release the drug to destroy only the infected cells while leaving the uninfected ones untouched. In this way we can overcome the drawbacks of the traditional methods for treating cancer (chemo-therapy and radio-therapy). In this paper we apply a powerful algorithm called Teaching Learning Based Optimization (TLBO) to deliver a swarm of Nano-robots to their target. Then we compare this algorithm with the Directed Particle Swarm Optimization (DPSO) algorithm for the same problem.