%0 Journal Article
%T An Improved Simulated Annealing Algorithm for Global Optimization Problems with Continuous Variables<br>一种改进的连续变量全局优化模拟退火算法
%A GU Yuan-xian
%A XIANG Bao-wei
%A ZHAO Guo-zhong ipment
%A Dept of Engineering Mechanics
%A Dalian University of Technology
%A Dalian
%A China
%A <br>顾元宪
%A 项宝卫
%A 赵国忠
%J 系统工程理论与实践
%D 2005
%I 
%X In this paper, an improved simulated annealing (SA) algorithm is developed to solve the global optimization problems with continuous variables. By introducing a method of adaptive conversion function, the determination of initial temperature, usually a difficult problem in SA has been solved and becomes independent to the practical problems solved. Combined with the success-failure method and the variable metric method, the conception of effective shift-increment is proposed to improve the method generating new solutions. On the basis of the newly defined relative precision, a termination criterion is proposed to make better balance between the computational efficiency and the solution accuracy, and then, enhance the efficiency and robustness of the SA algorithm. The numerical test examples are given to demonstrate the feasibility and high-efficiency of the improved SA algorithm proposed in the paper.
%K simulated annealing
%K global optimization
%K continuous variable
%K relative precision<br>模拟退火
%K 全局优化
%K 连续变量
%K 相对精度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=6E9C234906EAFBA8&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=E158A972A605785F&sid=89F76E117E9BDB76&eid=91C9056D8E8856E0&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=4&reference_num=9