混沌神经网络及其在最优化问题中的应用(英文)  

Chaotic Neural Networks and Their Application to Optimization Problems

作　　者：贺昱曜[1] 王力波[2] 

机构地区：[1]西北工业大学航海工程学院,西安710072 [2]南洋理工大学电气与电子工程学院,新加坡639798

出　　处：《控制理论与应用》2000年第6期847-852,共6页Control Theory & Applications

摘　　要：首先评述了三种混沌神经网络模型 ,然后提出了一种新的混沌模拟退火算法 .其次将四种方法分别应用于 10个城市的旅行推销商问题 .文中给出了每一模型神经元输出和能量函数随时间演变过程曲线 .根据仿真结果 ,讨论了四种方法的特性与效果 .其结论为 :提出的模拟退火神经网络比其它网络模型更能获得全局最小解 .In this paper,we first review three chaotic neural network models,and then propose a novel approach to chaotic simulated annealing.Second,we apply all of them to 10-city travelling salesman problem (TSP),respectively.The time evolutions of energy functions and outputs of neurons for each model are given.The features and effectiveness of four methods are discussed and evaluated according to the simulation results.We conclude that proposed neural network with simulated annealing have more powerful ability to obtain global minima than any other chaotic neural network model.

关 键 词：最优化问题 混沌 神经网络 推销商问题 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]