The application of genetic algorithm for beam directions optimization in radiotherapy

被引：0
|
作者：
Li, YJ [1 ]
Yao, DZ [1 ]
Zheng, JC [1 ]
Yao, J [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu 610054, Peoples R China
来源：
2005 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS: VOL 1: COMMUNICATION THEORY AND SYSTEMS | 2005年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Genetic algorithm (GA) has been proved to be a useful global optimization tool and has been used to solve many engineering problems. In this paper, a GA with problem-dependant coding scheme is proposed in order to solve the problem of beam direction optimization for the radiotherapy. The coding scheme and genetic operations including selection, crossover, mutation and immunity are discussed in detail. In order to speed-up the optimization, some prior expert knowledge is used to guide the genetic process. Finally a simulated case is explored to test the validity of the proposed algorithm for the optimization of beam directions in the intensity-modulated radiotherapy planning. The results show that the algorithm is valid and efficient and can find the optimal beam directions within less computation time.
引用
收藏
页码：921 / 925
页数：5
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