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A Multi-Objective Hybrid Genetic Based Optimization for External Beam Radiation
作者姓名:李国丽  宋钢  吴宜灿  张建  王建京
作者单位:[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
基金项目:supported by the Natural Science Foundation of Anhui Province (No. 0104360)
摘    要:

关 键 词:反转计划  多目标优化  遗传算法  等离子物理
收稿时间:2005-10-09
修稿时间:2005-10-09

A Multi-Objective Hybrid Genetic Based Optimization for External Beam Radiation
Li GuoLi;Song Gang;Wu YiCan;Zhang Jian;Wang JianJing.A Multi-Objective Hybrid Genetic Based Optimization for External Beam Radiation[J].Plasma Science & Technology,2006,8(2):234-236.
Authors:Li GuoLi;Song Gang;Wu YiCan;Zhang Jian;Wang JianJing
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 test calculation demonstrates that an excellent converging speed can be achieved using this approach.
Keywords:inverse planning  multi-objective optimization  genetic algorithm  hybrid
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