| 基于KOHONEN神经网络的模拟退火算法 |
| |
| 引用本文： | 谭建辉.基于KOHONEN神经网络的模拟退火算法[J].微计算机信息,2006,22(5):254-256. |
| |
| 作者姓名： | 谭建辉 |
| |
| 作者单位： | 529500,阳江市广东省阳江职业技术学院 |
| |
| 摘 要： | 本文提出了一种基于分布式知识的广义优化方法----基于KOHONEN神经网络的模拟退火算法。采用人工神经网络积累搜索区域信息,利用其学习的分布式寻优知识指导搜索过程的优化。研究了各种优化策略,给出了算法流程和结构框图。典型算例的仿真研究结果显示了新算法在寻优性能上的优越性。
|
| 关 键 词： | 神经网络 模拟退火 广义优化 |
| 文章编号： | 1008-0570(2006)02-2-0254-03 |
| 修稿时间： | 2005年8月6日 |
A Simulated Annealing Algorithm based on KOHONEN Neural Network |
| |
| Tan,Jianhui.A Simulated Annealing Algorithm based on KOHONEN Neural Network[J].Control & Automation,2006,22(5):254-256. |
| |
| Authors: | Tan Jianhui |
| |
| Abstract: | A generalized optimization method based on distributed knowledge - - - - simulated annealing algorithm based on KOHO-NEN neural network is presented in this paper. The key point of this method is to accumulate the information of the solution spaceusing KOHONEN neural network and to guide the further search according to the distributed knowledge studied. In this paper, vari-ous optimization maneuvers are discussed, and the flow chart of the method is given. Computational results on typical optimizationproblems are used to demonstrate the superiority of this method in optimization performances. |
| |
| Keywords: | neural network simulated annealing algorithm generalized optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
