Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy

LI Guoli1 SONG Gang2 WU Yican2 1

doi:null

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Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy

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- Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy
- NUCLEAR TECHNIQUES Issue 3, (2007)
- 作者机构：
  
  1. 合肥工业大学电气与自动化工程学院
  2. 中国科学院等离子体物理研究所
- 作者简介：
- 基金信息：
  
  安徽省自然科学基金资助项目(01043601);中国科学院知识创新工程;中国科学院百人计划项目;国家“973”计划项目(2006CB708307)共同资助
- DOI：
  CLC： R730.5
- Published：01 March 2007
- 稿件说明：
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[1]李国丽,宋钢,吴宜灿.放疗逆向计划中的混合多目标优化算法研究[J].核技术,2007(03):222-226.

LI Guoli1 SONG Gang2 WU Yican2 1. Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy[J]. Nuclear techniques, 2007, (3): 222-226.
[1]李国丽,宋钢,吴宜灿.放疗逆向计划中的混合多目标优化算法研究[J].核技术,2007(03):222-226. DOI：

LI Guoli1 SONG Gang2 WU Yican2 1. Study on hybrid multi-objective optimization algorithm for inverse treatment planning of radiation therapy[J]. Nuclear techniques, 2007, (3): 222-226. DOI：

摘要

放射治疗中的逆向计划为多目标优化问题。将模拟退火算法和遗传算法相结合

进行多目标优化算法的研究

利用测试函数分析算法的优劣。将基于交叉变异扰动的多目标SA算法应用于放疗逆向计划过程

用基于平均剂量分布的目标函数和基于混合剂量-体积约束的目标函数进行逆向优化计算

说明算法的有效性。

Abstract

Inverse treatment planning for radiation therapy is a multi-objective optimization process.The hybrid multi-objective optimization algorithm is studied by combining the simulated annealing(SA) and genetic algorithm(GA).Test functions are used to analyze the efficiency of algorithms.The hybrid multi-objective optimization SA algorithm

which displacement is based on the evolutionary strategy of GA: crossover and mutation

is implemented in inverse planning of external beam radiation therapy by using two kinds of objective functions

namely the average dose distribution based and the hybrid dose-volume constraints based objective functions.The test calculations demonstrate that excellent converge speed can be achieved.

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