| 混沌优化方法的研究进展 |
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| 引用本文： | 王凌,郑大钟,李清生.混沌优化方法的研究进展[J].计算技术与自动化,2001,20(1):1-5. |
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| 作者姓名： | 王凌 郑大钟 李清生 |
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| 作者单位： | 1. 清华大学自动化系
2. 北京航空航天大学理学院 |
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| 基金项目： | 国家自然科学基金项目! ( 6 96 840 0 1)，国家攀登计划项目 |
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| 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陶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，并在分析混沌优化特点的基础上讨论了有等发展的若干研究课题。
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| 关 键 词： | 混沌 优化 神经网络 非线性 |
| 文章编号： | 1003-6199(2001)01-0001-05 |
| 修稿时间： | 2000年9月10日 |
Survey on Chaotic Optimization Methods |
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| WANG Ling ,ZHENG Da-zhong ,LIN Qing-sheng.Survey on Chaotic Optimization Methods[J].Computing Technology and Automation,2001,20(1):1-5. |
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| Authors: | WANG Ling ZHENG Da-zhong LIN Qing-sheng |
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| Affiliation: | WANG Ling 1,ZHENG Da-zhong 1,LIN Qing-sheng 2 |
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| Abstract: | 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. |
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| Keywords: | chaos optimization neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
