Abstract
Cancer is one of the most dangerous diseases in this century. There are two traditional methods for treating cancer (radio-therapy and chemo-therapy). Using these methods causes very harmful side effects on healthy organs. Because of these side effects, doctors sometimes need to decrease the drug dose or delay the therapy. Some researchers proposed to use Nano-robots to deliver anti-cancer drugs to only cancer cells without touching the healthy tissues. One of the most recently proposed algorithms for delivering Nano-robots to cancer area is Directed Particle Swarm Optimization (DPSO) [1]. This algorithm can efficiently deliver all Nano-robots to the target area in a very short time. In this paper, we deeply discuss this algorithm and we also propose a new method for controlling this algorithm by tuning its direct step.
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Ezzat, D., Amin, S., Shedeed, H.A., Tolba, M.F. (2020). Controlling Directed Particle Swarm Optimization for Delivering Nano-robots to Cancer Cells. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_15
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DOI: https://doi.org/10.1007/978-3-030-44289-7_15
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