Best-so-far ABC based nanorobot swarm

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Nantapat T., Kaewkamnerdpong B., Achalakul T., Sirinaovakul B.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2011

Volume number: 1

หน้าแรก: 226

หน้าสุดท้าย: 229

จำนวนหน้า: 4

ISBN: 9780769544441

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054920751&doi=10.1109%2fIHMSC.2011.61&partnerID=40&md5=e60612e0ac7444fcabae6b48d21dd745

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

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.

คำสำคัญ

Biomedical Engineering, Hemostasis, Nanorobotics