| 高岳林,刘俊芳.自适应差分进化算法[J].河北工程大学自然版,2008,25(4):107-109 |
| 自适应差分进化算法 |
| Adaptive differential evolution algorithm |
| 投稿时间：2008-09-12 |
| DOI： |
| 中文关键词: 差分进化算法 自适应 缩放因子 全局优化 |
| 英文关键词:differential evolution algorithm adaptive scale factor global optimization |
| 基金项目:宁夏自然科学基金资助项目(N20848) |
|
| 摘要点击次数: 1777 |
| 全文下载次数: 567 |
| 中文摘要: |
| 提出了-种自适应差分进化算法,该算法在计算过程中自适应调整缩放因子,在搜索初期保持种群的多样性和增强全局搜索能力,后期有利于局部搜索提高算法的精度。数值实验结果表明,该算法有效的避免早熟,提高了全局寻优能力。该算法的性能优于基本微分进化算法。 |
| 英文摘要: |
| An adaptive differential evolution algorithm is presented.It adjusts scale factor adaptively according to the computation process in order to preserve the diversity of population at the initial generation as well as to enhance the global searching ability and to improve local searching capacity and precision of solution finally.Experimental results show that the presented algorithm can avoid premature convergence effectively and enhance the global searching ability. |
| 查看/发表评论 下载PDF阅读器 下载全文 |
| 关闭 |
