Best-so-far ABC based nanorobot swarm
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Publication Details
Author list: Nantapat T., Kaewkamnerdpong B., Achalakul T., Sirinaovakul B.
Publisher: Hindawi
Publication year: 2011
Volume number: 1
Start page: 226
End page: 229
Number of pages: 4
ISBN: 9780769544441
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
Nanotechnology has continuously advanced with many tremendous promises to offer. The coming of nanorobots seems inevitable. Medical applications would be one of the first utilization of nanorobots. Nanorobot may become a solution for many currently incurable diseases as it can be viewed as a medical instrument that can be released inside human body for drug delivery and diagnosis [1-3]. In order to effectively utilize nanorobots, the concept of swarm intelligence is extensively studied in the literature [4-8]. In this study, we proposed a framework based on swarm intelligence concept for nanorobot control in medical applications. We adopted a variation of Artificial Bee Colony (ABC) called Best-so-far ABC to regulate nanorobot behavior. Best-so-far ABC biases solutions toward the best position of current iteration. The proposed framework is demonstrated in wounds healing application, nanorobots operate inside a network of blood vessels as artificial platelets to assist in hemostasis process to stop bleeding. Nanorobots must manage to attend to all multiple wounds. The demonstration is one example of possible medical applications of the swarm-intelligence-based nanorobot framework. ฉ 2011 IEEE.
Keywords
Biomedical Engineering, Hemostasis, Nanorobotics
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