%0 Journal Article
%T OPTIMIZATION OF ROSENBROCK S FUNCTION BASED ON GENETIC ALGORITHMS<br>基于遗传算法的Rosenbrock函数优化问题的研究
%A LIANG Yanchun
%A ZHOU Chunguang
%A LI Shoufan
%A <br>梁艳春
%A 周春光
%A 李寿范
%J 软件学报
%D 1997
%I 
%X This paper deals with the optimization of Rosenbrock s function based ongenetic algorithms. The simulated results show that the problem can be solved effectivelyusing genetic algorithms. The influence of some rnodified genetic algorithms on searchspeed is also examined. Some genetic operations suitable to the optimization technique areobtained, therefore, a novel way of solving a class of optimizations of functions that cannot be realized using the method of steepest descent is proposed.
%K Genetic algorithms
%K function optimization
%K steepest descent method
%K Rosenbrock s function
%K search speed<br>遗传算法
%K 函数优化
%K 最速下降法
%K Rosenbrock函数
%K 搜索速度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=BADB1FFF4062C68A5E691EA860179E4D&yid=5370399DC954B911&vid=5D311CA918CA9A03&iid=9CF7A0430CBB2DFD&sid=80BBC722D530DB8D&eid=C3BC38F6CC09E835&journal_id=1000-9825&journal_name=软件学报&referenced_num=17&reference_num=22