| 提高变型标准遗传算法收敛速度的混合法及其推广 |
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| 引用本文： | 徐川育. 提高变型标准遗传算法收敛速度的混合法及其推广[J]. 信息与控制, 1997, 0(4) |
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| 作者姓名： | 徐川育 |
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| 作者单位： | 杭州商学院 |
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| 摘 要： | 针对即使是全局收敛的变型标准遗传算法ＶＣＧＡ［１］有时也会发生收敛速度变慢的问题，提出了ＶＣＧＡ和最陡下降法相结合的混合法ＨＶＣＳＤＡ．该方法增强了ＶＣＧＡ在接近全局最优解时的微调能力．还将ＨＶＣＳＤＡ推广到一类修正的ＶＣＧＡ上．仿真实例表明了ＨＶＣＳＤＡ及其推广能有效地提高收敛速度．对３０城市ＴＳＰ的仿真结果为６．８２２，要好于用ＴＡＢＵ得到的６．９９的结果［６］．
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| 关 键 词： | VCGA，一类修正的VCGA，收敛速度，HVCSDA及其推广 |
THE THEORY OF RBF NEURAL NETWORK AND ITS APPLICATION IN CONTROL |
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| WANG Xudong SHAO Huihe. THE THEORY OF RBF NEURAL NETWORK AND ITS APPLICATION IN CONTROL[J]. Information and Control, 1997, 0(4) |
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| Authors: | WANG Xudong SHAO Huihe |
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| Abstract: | This paper first surveys the structure, types, approximation theory, and training methods of the RBF neural network, then analyzes the advantages and problems. At the same time, some typical applications in control have been discussed. At last the new trends of the applications in control are pointed out. |
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| Keywords: | RBF neural networks universal approximation best approximation predictive control internal model control soft sensor optimization of operation |
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