NDLI: A self-tuned bat algorithm for optimization in radiation therapy treatment planning

Content Provider	IEEE Xplore Digital Library
Author	Kalantzis, G. Yu Lei
Copyright Year	2014
Description	Author affiliation: Dept. of Radiat. Oncology, Univ. of Nebraska, Omaha, NE, USA (Yu Lei) \|\| Dept. of Radiat. Oncology, Regional Cancer Center, San Angelo, TX, USA (Kalantzis, G.)
Abstract	The performance of any optimization algorithm largely depends on the setting of its algorithm-dependent parameters. Swarm intelligence algorithms are popular methods in optimization since they have been proved very efficient. One drawback of those methods though, is that the appropriate setting of the algorithm-dependent parameters has a significant impact on the algorithm's performance. The “parameter tuning” of an algorithm in such a way to be able to find the optimal solution by using the minimum number of iterations, quite often is a difficult and time consuming task depending on the optimization problem. Essentially this is a hyper-optimization problem, that is, the optimization of the optimization algorithm. In this paper, a novel self-tuned metaheuristic algorithm is presented for optimization in radiation therapy treatment planning. The proposed Self-Tuned Bat Algorithm (STBA) finds itself the optimal set of algorithm-dependent parameters and therefore minimizes the number of iterations required for the optimization to reach sub-optimal solution. The applicability of the proposed algorithm is demonstrated in the optimization of a prostate case using intensity modulation radiation therapy (IMRT).
Starting Page	1
Ending Page	6
File Size	591997
Page Count	6
File Format	PDF
ISBN	9781479956043
DOI	10.1109/SNPD.2014.6888747
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Barium bat algorithm Sociology optimization Biomedical applications of radiation Planning Statistics self-tuning Optimization intensity modulated radiation therapy
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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