摘要
混沌是一种普遍的非线性现象 ,具有随机性、遍历性和内在规律性的特点。由于遍历性可作为避免搜索过程陷入局部极小的有效机制 ,因此混沌已成为一种新颖且有潜力的优化工具。为了让混沌优化这一新兴研究方向为更多工作者所了解 ,此文综述了混沌优化方法的研究进展 ,包括基于混沌的函数优化与基于混沌神经网络的组合优化 。
Chaos is a universal nonlinear phenomenon with stochastic property, ergodic property and regular property, whose ergodicity can be used as a kind of mechanism for optimization to effectively avoid the search being trapped in local optimum, so that chaos has been a novel and promising tool for global optimization. In this paper, a survey on chaotic optimization including functional optimization based on chaos and combinatorial optimization based on chaotic neural network has been presented, the features of chaotic optimization have been analyzed, as well as some corresponding studies to be improved have been discussed.
出处
《计算技术与自动化》
2001年第1期1-5,共5页
Computing Technology and Automation
基金
国家自然科学基金项目! ( 6 96 840 0 1)
国家攀登计划项目
