| 引用本文: | 李 兵,谢剑英.遗传算法的自适应代沟的替代策略研究[J].控制理论与应用,2001,18(1):41~44.[点击复制] |
| LI Bing,XIE Jian-ying.The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm[J].Control Theory and Technology,2001,18(1):41~44.[点击复制] |
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| 遗传算法的自适应代沟的替代策略研究 |
| The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm |
| 摘要点击 1696 全文点击 2130 投稿时间：1999-03-05 修订日期：2000-02-29 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.1.009 |
| 2001,18(1):41-44 |
| 中文关键词 遗传算法 自适应代沟 竞争选择 |
| 英文关键词 genetic algorithm adapive generation gap tournament selection |
| 基金项目 |
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| 中文摘要 |
| 遗传算法的替代策略对遗传算法的性能具有重要意义. 提出自适应代沟的替代策略. 仿真表明,与现有的其他替代策略相比,该方法在不损失解的质量的情况下,使基于实数编码的遗传算法求解效率得到明显的改善. |
| 英文摘要 |
| The replacement strategy is of great importance for the performance of the genetic algorithms. We introduce a new replacement strategy with adaptive generation gap. Simulation shows, compared with other strategies, the new method can improve the efficiency of the genetic algorithms based on the real2valued coding without loss of quality. |