摘要
基于混沌变量，提出一种混沌模拟退火优化方法，给出了初始温度的确定方法。利用混沌变量对当前点进行扰动，随着搜索的深入逐渐减小扰动的幅度。数值计算结果表明，该方法可以显著提高求解全局优化问题的计算效率。
Based on chaotic variable, a chaos simulated annealing algorithm is proposed and the method of defining the initial temperature is given. The disturbance of now-state is generated by means of chaotic variable. The larger the number of searching step, the smaller the magnitude of the disurbance. The numerical computation results indicate that the proposed CSA can significantly improve the computational efficiency of global optimization.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第4期381-384,共4页
Control and Decision
基金
国家高等学校博士点基金
关键词
混沌变量
优化
模拟退火算法
chaotic variable, simulated annealing, optimization
