| 基于遗传算法的传感器创新设计的研究 |
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| 引用本文： | 滕佑水,尹成龙,朱林,汪振乾,牛多青.基于遗传算法的传感器创新设计的研究[J].组合机床与自动化加工技术,2007(4):22-24,27. |
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| 作者姓名： | 滕佑水 尹成龙 朱林 汪振乾 牛多青 |
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| 作者单位： | 1. 安徽农业大学,工学院,合肥,230036
2. 中国科学技术大学,工程科学院,合肥,230026 |
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| 基金项目： | 安徽省教育厅自然科学基金 |
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| 摘 要： | 遗传算法具有较强的全局随机搜索能力，在编码、选择、交叉、变异等方面对基本遗传算法进行改进，提高其效率和性能，并利用改进的遗传算法对传感器效应进行学习，同时确定效应模型中的输入、输出参数的最佳组合。利用所得的效应模型为传感器的研发提供原理支持，实现传感器的创新设计。同时分别利用自适应遗传算法对传感器设计的遗传算子进行计算，利用messy GA对个体进行遗传操作。所开发的传感器创新设计软件运行良好，但仍需不断的完善。
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| 关 键 词： | 遗传算法 传感器效应 创新设计 |
| 文章编号： | 1001-2265（2007）04-0022-03 |
| 修稿时间： | 2006-09-142006-10-22 |
Research on the Sensor Innovational Design Bases on Genetic Algorithm |
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| TENG You-shui,YIN Cheng-long,ZHU Lin,WANG Zhen-qian,NIU Duo-qing.Research on the Sensor Innovational Design Bases on Genetic Algorithm[J].Modular Machine Tool & Automatic Manufacturing Technique,2007(4):22-24,27. |
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| Authors: | TENG You-shui YIN Cheng-long ZHU Lin WANG Zhen-qian NIU Duo-qing |
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| Affiliation: | 1. Engineering and Technology Institute, Anhui Agricultural University, Hefei 230036, China; 2. Engineering and Science Institute, USTC,Hefei 230026, China |
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| Abstract: | Genetic Algorithm(GA) has a comprehensive searching ability.Standard GA is modified in some aspects such as coding,selection,crossover and mutation in order to improve its efficiency and performance.Then it is used to learn the input and output parameter of the effect model and terrifies the optimal combination of sensor effects.The acquired effect model is supplied to study the sensor and implement the innovation of sensor.And it can calculate the genetic operator of the sensor design with Adaptive Genetic Algorithm and operate individual with messy GA.Developing software of sensor innovative design runs very well,but it need still improve. |
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| Keywords: | genetic algorithm(GA) sensor effect innovative design |
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