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A Multi-Objective Hybrid Genetic Based Optimization for External Beam Radiation

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【Author】 LI Guoli ( ~1, SONG Gang (, WU Yican ZHANG Jian ~2, WANG Qunjing ( 1 Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China 2 School of Electrical Engineering & Automation, Hefei University of Technology, Hefei 230009, China

【机构】 Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China； School of Electrical Engineering & Automation, Hefei University of Technology, Hefei 230009, China；

【摘要】 <正> A multi-objective hybrid genetic based optimization algorithm is proposed according to the multi-objective Property of inverse planning. It is based on hybrid adaptive genetic algorithm which combines the simulated annealing, uses adaptive crossover and mutation, and adopts niched tournament selection. The result of the teat calculatation demonstrates that an excellent converging speed can be achieved using this approach.更多还原

【Abstract】 A multi-objective hybrid genetic based optimization algorithm is proposed according to the multi-objective Property of inverse planning. It is based on hybrid adaptive genetic algorithm which combines the simulated annealing, uses adaptive crossover and mutation, and adopts niched tournament selection. The result of the teat calculatation demonstrates that an excellent converging speed can be achieved using this approach.更多还原

【关键词】 inverse planning； multi-objective optimization； genetic algorithm； hybrid；
【Key words】 inverse planning； multi-objective optimization； genetic algorithm； hybrid；

【基金】 supported by the Natural Science Foundation of Anhui Province (No. 0104360)

【文献出处】 Plasma Science and Technology ,等离子体科学和技术(英文版) , 编辑部邮箱 ,2006年02期

【分类号】O221
【被引频次】7
【下载频次】7

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