A multi-objective hybrid genetic based optimization for external beam radiation

被引：7

作者：

Li, Guoli ^{[1
]}

Song, Gang

Wu, Yican

Zhang, Jian

Wang, Qunjing

机构：

[1] Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China

[2] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China

来源：

PLASMA SCIENCE & TECHNOLOGY | 2006年 / 8卷 / 02期

关键词：

inverse planning; multi-objective optimization; genetic algorithm; hybrid;

D O I：

10.1088/1009-0630/8/2/23

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

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.

引用

页码：234 / 236

页数：3

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