| 退火-遗传算法寻优及其实现 |
| |
| 引用本文： | 王英.退火-遗传算法寻优及其实现[J].中国工程科学,2008,10(7):57-59. |
| |
| 作者姓名： | 王英 |
| |
| 作者单位： | 焦作坚固水泥有限公司,河南焦作,454000 |
| |
| 摘 要： | 分析了遗传算法及退火算法的优缺点，提出用退火算法改进遗传算法局部的最优值搜索效率低问题。退火算法与遗传算法融合后，使算法在寻优结果上更加迅速精确。通过水泥的配比工程实例，与单纯的遗传算法的结果进行对比，说明该方法是有效的。
|
| 关 键 词： | 遗传算法 退火算法 遗传算法改进 |
| 收稿时间： | 2007/2/27 0:00:00 |
| 修稿时间： | 1/15/2008 1:41:04 PM |
Optimization and its realization of anneal genetic algorithm |
| |
| Wang Ying.Optimization and its realization of anneal genetic algorithm[J].Engineering Science,2008,10(7):57-59. |
| |
| Authors: | Wang Ying |
| |
| Affiliation: | Jiaozuo Solid Cement Co. Ltd, Jiaozuo,Henan 454000, China |
| |
| Abstract: | A method that uses annealing algorithm to improve the inefficient local search of genetic algorithm is proposed. That method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithm. The algorithm optimization is more rapidly in precision after annealing algorithm integration with the genetic algorithm. By examples of cement ratio works, compared with results of the simple algorithm, it is effectively. |
| |
| Keywords: | genetic algorithm simulated annealing algorithm genetic algorithm improvement |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《中国工程科学》浏览原始摘要信息 |
|
点击此处可从《中国工程科学》下载全文 |
|
