%0 Journal Article
%T Study of Hybrid Genetic Algorithm Based on Simulated Annealing<br>基于模拟退火的混合遗传算法研究
%A ZHOU-Li
%A HUANG Su-zhen
%A <br>周丽
%A 黄素珍
%J 计算机应用研究
%D 2005
%I 
%X Taking a modified Simulated Annealing algorithm as a genetic operator realized the combination of the local searching ability of SA and global searching ability of GA. A new hybrid algorithm of Genetic Simulated Annealing had been designed with dynamic probability of crossover and mutation, and tested by a nonlinear function optimization. The results indicated the hybrid algorithm can improve significantly the efficiency of GA for solving nonlinear optimization.
%K Genetic Algorithm(GA)
%K Simulated Annealing(SA)
%K Hybrid Algorithm
%K Nonlinear Optimization<br>遗传算法
%K 模拟退火
%K 混合算法
%K 非线性约束
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=69D4DDA54AE8F82B&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=9CF7A0430CBB2DFD&sid=AA76E167F386B6B3&eid=B9704B40A4225A24&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=17&reference_num=5