A New Algorithm in the Application of Parameter Optimization in Radiotherapy

被引：0
|
作者：
Yong, Cao Ming [1 ]
Chen Chaomin [1 ]
Zhou Linghong [1 ]
Tonglei [2 ]
机构：
[1] Southern Med Univ, Guangzhou 510515, Guangdong, Peoples R China
[2] Guangdong Vocational Coll Mech & Engn, Guangzhou 510515, Guangdong, Peoples R China
来源：
2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年
关键词：
Genetic Algorithm with two Populations; Restriction base on Experience; Intensity modulated radiation therapy (IMRT); GENETIC ALGORITHMS;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The genetic algorithm with two populations was used to optimize IMRT beam weight and orientations with three dimensional pencil beam dose calculation model. The algorithm was implemented in Visual c#.Net. After experience and analysis, we found that modest change of the beam orientation resulted in more conformal dose distribution in target volume and larger high dose area was included. Furthermore, genetic algorithm with two populations gave such a clinically acceptable computation time. It provided a satisfactory result. So, the genetic algorithm with two populations was an effective and global optimization method because of its parallelism, robust and globalization. It provided satisfactory results when being used to optimize IMRT beam weight and orientations.
引用
收藏
页码：2327 / +
页数：2
相关论文
共 50 条
  • [21] A new optimization algorithm with application to nonlinear MPC
    Martinsen, F
    Biegler, LT
    Foss, BA
    [J]. JOURNAL OF PROCESS CONTROL, 2004, 14 (08) : 853 - 865
  • [22] Application of the Improved Algorithm Based on Parameter Optimization in Medical Unbalanced Datasets
    Dou, Yifeng
    Cui, Jinguang
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 56 - 57
  • [23] Topology and Parameter Optimization of ANN Using Genetic Algorithm for Application of Textiles
    Admuthe, Lalita
    Apte, Shaila
    Admuthe, Sunil
    [J]. 2009 IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2009, : 278 - +
  • [24] Application of Genetic Algorithm on Parameter Optimization of Three Vehicle Crash Scenarios
    Munyazikwiye, Bernard B.
    Karimi, Hamid R.
    Robbersmyr, Kjell G.
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 3697 - 3701
  • [25] A hybrid global optimization algorithm and its application to parameter estimation problems
    Zhang, H.
    Rangaiah, G. P.
    [J]. ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2011, 6 (03) : 379 - 390
  • [26] Application of improved artificial immune algorithm in parameter optimization for image registration
    Zhao, Yunfeng
    Fu, Dongmei
    Yin, Yixin
    Wang, Jia
    Zhou, Zhun
    Yin, Ping
    [J]. Gaojishu Tongxin/Chinese High Technology Letters, 2009, 19 (05): : 525 - 532
  • [27] Application and Improvement of Xgboost Algorithm Based on Multiple Parameter Optimization Strategy
    Sun, Linyu
    [J]. 2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 1822 - 1825
  • [28] Application of the particle swarm optimization algorithm-back propagation neural network algorithm introducing new parameter terms in the application field of industrial design
    Tian, Yuan
    Chang, Yu
    [J]. RESULTS IN ENGINEERING, 2024, 21
  • [29] ALGORITHM FOR MINIMAX PARAMETER OPTIMIZATION
    HELLER, JE
    CRUZ, JB
    [J]. AUTOMATICA, 1972, 8 (03) : 325 - &
  • [30] A new DNA genetic algorithm and its application in parameter estimation
    Chen, Xiao
    Wang, Ning
    [J]. Huagong Xuebao/CIESC Journal, 2010, 61 (08): : 1912 - 1918
12345