Abstract In the last few years, it was proposed to deliver drugs using Nano-robots for treating cancer. This paper compares between two recent and efficient algorithms for delivering Nano-robots to cancer area. These algorithms are Jaya algorithm and Directed Particle Swarm Optimization (DPSO) algorithm. In this paper, we also propose a new hybrid algorithm that combines Jaya and DPSO to speed up the process of Nano-robots delivery. The proposed algorithm is called Directed Jaya (DJaya) algorithm. Experiments have proved that the efficiency of DJaya is higher than both Jaya and DPSO. We show experimentally that DJaya starts delivering Nano-robots earlier than DPSO to facilitate the initiation of the drug release. Also, DJaya finishes delivering Nano-robots earlier than Jaya to complete the drug dose. In addition to this, DJaya groups the Nano-robots together in the target area like DPSO to speed up the drug release process. We finally propose a new strategy for destroying cancer cells efficiently with relatively small number of Nano-robots. This strategy can save 40% of Nano-robots.

中文翻译：

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用于将纳米机器人运送到癌症区域的定向 jaya 算法

摘要 近年来，有人提出使用纳米机器人递送药物治疗癌症。本文比较了将纳米机器人运送到癌症区域的两种最新且有效的算法。这些算法是 Jaya 算法和定向粒子群优化 (DPSO) 算法。在本文中，我们还提出了一种新的混合算法，结合了 Jaya 和 DPSO，以加快纳米机器人交付的过程。所提出的算法称为Directed Jaya (DJaya) 算法。实验证明DJaya的效率高于Jaya和DPSO。我们通过实验表明 DJaya 比 DPSO 更早开始提供纳米机器人，以促进药物释放的启动。此外，DJaya 比 Jaya 更早完成交付纳米机器人以完成药物剂量。除此之外，DJaya 将纳米机器人集中在目标区域，如 DPSO，以加快药物释放过程。我们最终提出了一种使用相对较少的纳米机器人有效破坏癌细胞的新策略。这种策略可以节省 40% 的纳米机器人。