Title :
The application of genetic algorithm for beam directions optimization in radiotherapy
Author :
Li, Yongjie ; Yao, Dezhong ; Zheng, Jiancheng ; Yao, Jonathan
Author_Institution :
Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Sichuan, China
Abstract :
The 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 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 direction in intensity-modulated radiotherapy planning. The results show that the algorithm is valid and efficient and can find the optimal beam directions within little computation time.
Keywords :
genetic algorithms; intensity modulation; medical computing; radiation therapy; GA; beam direction optimization; crossover; genetic algorithm; global optimization tool; immunity; intensity-modulated radiotherapy planning; mutation; problem-dependant coding scheme; radiotherapy; selection; Biological cells; Biomedical applications of radiation; Computational modeling; Genetic algorithms; Genetic mutations; Humans; Optical modulation; Optimization methods; Testing; USA Councils;
Conference_Titel :
Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on
Print_ISBN :
0-7803-9015-6
DOI :
10.1109/ICCCAS.2005.1495259
