| 一种改进的遗传算法及其应用 |
| |
| 引用本文： | 排新颖.一种改进的遗传算法及其应用[J].科学技术与工程,2011,11(20):4836-4837,4842. |
| |
| 作者姓名： | 排新颖 |
| |
| 作者单位： | 中国石油大学(华东)数学与计算科学学院,青岛,266555 |
| |
| 摘 要： | 遗传算法在实际应用中容易出现早熟收敛和搜索结果精度不高的问题。针对早熟收敛和最优值精度低,采用了对搜索参数进行动态调整的优化计算。在进化的全过程中,算法始终保持较强的全局搜索能力和局部寻优能力。测试结果表明,对遗传算法的此种改进是有效的,不易陷入局部最优,并能大大提高最优解的精度。
|
| 关 键 词： | 遗传算法 实数编码 过早收敛 |
| 收稿时间： | 3/22/2011 7:24:46 PM |
| 修稿时间： | 4/9/2011 1:43:20 PM |
An improved genetic algorithm and its application |
| |
| paixinying.An improved genetic algorithm and its application[J].Science Technology and Engineering,2011,11(20):4836-4837,4842. |
| |
| Authors: | paixinying |
| |
| Institution: | PAI Xin-ying,MA Shan-li(Department of Mathematics,China University of Petroleum,Qingdao 266555,P.R.China) |
| |
| Abstract: | Practical application of genetic algorithm is easy to premature convergence and accuracy of search results is not high.Optimal value for the premature convergence and low accuracy to dynamically adjust the search parameters to optimize the calculation,the whole process of evolution,the algorithm always maintain a strong global search ability and local search capabilities;test results show that genetic such improved algorithm is effective,easy to fall into local optimum,and can greatly improve the accuracy o... |
| |
| Keywords: | genetic algorithms real coding premature convergence |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
| 点击此处可从《科学技术与工程》下载免费的PDF全文 |
|
