| 具有种群多样性的遗传算法及其在容错优化中的应用 |
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| 引用本文： | 程澄,王汉宁,朱国良.具有种群多样性的遗传算法及其在容错优化中的应用[J].计算机系统应用,2016,25(7):142-146. |
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| 作者姓名： | 程澄 王汉宁 朱国良 |
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| 作者单位： | 北京微电子技术研究所, 北京, 100076;南京理工大学计算机学院, 南京, 210094,北京微电子技术研究所, 北京, 100076,北京微电子技术研究所, 北京, 100076 |
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| 摘 要： | 设计一种在进化过程中保持种群多样性的遗传算法，将该遗传算法与蒙特卡罗模拟法结合，从而能够在全部最优解中寻找容错能力最好的解.通过数值实验直观的验证了保持种群多样性在容错优化中的重要作用，以拉压弹簧结构的优化设计为例，有力的证明了该方法较已有方法更有效.
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| 关 键 词： | 种群多样性 优化设计 6σ容错 蒙特卡罗模拟法 |
| 收稿时间： | 2015/10/7 0:00:00 |
| 修稿时间： | 2/4/2016 12:00:00 AM |
Population Diversity Genetic Algorithm and its Application in Fault-Tolerant Optimization |
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| CHENG Cheng,WANG Han-Ning and ZHU Guo-Liang.Population Diversity Genetic Algorithm and its Application in Fault-Tolerant Optimization[J].Computer Systems& Applications,2016,25(7):142-146. |
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| Authors: | CHENG Cheng WANG Han-Ning and ZHU Guo-Liang |
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| Affiliation: | Beijing Microelectronics Technology Institute, Beijing 100074, China;School of Computer, Nanjing University of Science and Technology, Nanjing 210094, China,Beijing Microelectronics Technology Institute, Beijing 100074, China and Beijing Microelectronics Technology Institute, Beijing 100074, China |
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| Abstract: | A diversity genetic algorithm(DGA) is designed to maintain the diversity of population during the evolutionary process. Through the applications of DGA and Monte Carlo simulation method into design optimization, it has ability to find the most fault-tolerant solution from all the optimal solutions. As the result of the numerical experimentation, it is intuitively verified that maintaining the diversity of the population plays an important role in the optimization of fault-tolerant, and the result of the method used into the structure optimization design of a spring is a strong proof that it is more effective than existing methods. |
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