| 优化设计求解的遗传-神经网络新算法研究 |
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| 引用本文： | 赵正佳,黄洪钟,陈新. 优化设计求解的遗传-神经网络新算法研究[J]. 西南交通大学学报, 2000, 35(1): 65-68 |
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| 作者姓名： | 赵正佳 黄洪钟 陈新 |
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| 作者单位： | 1. 西南交通大学机械工程研究所,四川,成都,610031
2. 广东工业大学,广东,广州,510090 |
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| 摘 要： | 提出并研究了一种优化设计求解的遗传神经网络新算法,该算法综合了遗传算法的全局性和神经网络的并行快速性等特点,可克服遗传算法最终进化至最优解较慢和神经网络易陷入局部解的缺陷,具有较好的全局性和收敛速度
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| 关 键 词： | 神经网络 遗传算法 计算智能 优化设计 算法 |
A Genetic-Neural Network Algorithm in Optimum Design |
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| ZHAO Zheng-jia,HUANG Hong-zhong,CHEN Xin. A Genetic-Neural Network Algorithm in Optimum Design[J]. Journal of Southwest Jiaotong University, 2000, 35(1): 65-68 |
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| Authors: | ZHAO Zheng-jia HUANG Hong-zhong CHEN Xin |
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| Abstract: | A genetic neural network algorithm for optimum design is developed. In the algorithm, the global property of genetic algorithms (AG) and the parallelism of artificial neural networks (AN 2) are combined; GA provides global initial solutions, from which AN 2 obtains the final solutions. Thus, the defects of slow convergence with GA and easily falling into local solutions with AN 2 can be overcome. An applied example shows that the global property of the new algorithm is better than that of AN 2, and its convergence is better than that of GA. |
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| Keywords: | neural networks genetic algorithms computing intelligence optimum design |
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