%0 Journal Article
%T Research on Selecting Gantrys in IMRT Planning<br>逆向调强适形放射治疗计划中机架角选择的算法初探
%A LI Xian-fu
%A LI Ming-dong
%A TAN Bang-xian
%A LIU Mi
%A <br>李贤富
%A 李明东
%A 谭榜宪
%A 柳弥
%J 计算机应用研究
%D 2007
%I 
%X Taking simulated annealing algorithm which has high local searching ability into genetic algorithm selecting accelerator gantrys.Due to GA shortage such as premature,poor local searching ability etc.and complexity of IMRT planing,brought forword mannual good schema that brought clinic experience knowledge into algorithm.It can keep good global searching ability and improve significantly the efficiency of GA.
%K IMRT
%K genetic algorithm(GA)
%K simulated annealing(SA)
%K schema<br>调强治疗
%K 遗传算法
%K 模拟退火算法
%K 模式
%K 调强适形
%K 放射治疗计划
%K 机架
%K 选择
%K 模拟退火算法
%K Planning
%K IMRT
%K 运行效率
%K 优特点
%K 知识融入
%K 临床经验
%K 优良模式
%K 早熟现象
%K 寻优能力
%K 局部
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B30C62D102CFBAB83FC&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=91C9056D8E8856E0&eid=480C51B1F0CE0AB6&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8