摘要
针对优化问题中的多极值的现象 ,提出了基于有记忆模拟退火的全局优化算法。并针对不同的设计变量 ,采用了不同的邻域产生方法。在分析算法性能的基础上 ,分别对连续变量和离散变量优化问题的工程实例进行了求优 ,结果表明该算法具有较高的计算精度和适应性。
In this paper, aiming at a multi extremum phenomenon in optimization problems, the global optimization algorithm,which is based on simulated annealing with memory, is proposed. And different methods of producing adjacent state for different design variables are adopted. On the basis of analyzing the performance of the algorithm, the optimization of the engineering examples with continuous and discrete variables are calculated respectively. And the results show that the algorithm has high precision and adaptability.
出处
《桂林电子工业学院学报》
2001年第2期33-37,共5页
Journal of Guilin Institute of Electronic Technology
基金
电科院基金资助项目!(编号 :DJ7.3 .9.2 )
关键词
模拟退火
全局优化
邻域
算法
工程优化
simulated annealing, global optimization, adjacent state
