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改进遗传算法求解惠更斯问题的研究
引用本文:韩瑞锋.改进遗传算法求解惠更斯问题的研究[J].太原理工大学学报,2011,42(3):235-237.
作者姓名:韩瑞锋
作者单位:忻州师范学院计算机系,山西忻州,034000
基金项目:山西省教育厅"高校科技研究开发项目"
摘    要:将惠更斯函数作为目标函数,采用改进的实数编码遗传算法进行求解。通过系统地调整群体规模、变异率和杂交率三种进化控制参数值,设计并进行了分组实验,得到了一组满意的进化控制参数。运用这组参数进行计算得到的优化结果十分接近惠更斯问题的理论值,使惠更斯问题得到比传统算法更好的解决方法。

关 键 词:遗传算法  杂交率  变异率  惠更斯问题

The Evaluator for Huygen's Problem Based on Improved Genetic Algorithms
HAN Rui-feng.The Evaluator for Huygen's Problem Based on Improved Genetic Algorithms[J].Journal of Taiyuan University of Technology,2011,42(3):235-237.
Authors:HAN Rui-feng
Institution:HAN Rui-feng(College of Computer,Xinzhou Teacher's University,Xinzhou 034000,China)
Abstract:Huygen's function was processed as fitness-value function and Huygen's questionwas solved with an improved genetic algorithm coded with real number. Three groups of experi-ments were designed and performed by adjusting the genetic parameters (population size, muta-tion rate, crossover rate) systematically. Finally a group of genetic parameters were .found.When they were used in the experiment, the result was very similar to the real value. Then Huy-gen's question was solved perfectly.
Keywords:genetic algorithms  crossover ratio  mutation ratio  huygen's problem  
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