| 遗传算法的自适应代沟的替代策略研究 |
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| 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. |
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| 作者姓名： | 李 兵 谢剑英 |
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| 作者单位： | 上海交通大学自动化系 |
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| 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，该方法在不扣解的质量的情况下，使其于实数编码的遗传算法求解效率得到明显的改善。
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| 关 键 词： | 遗传算法 自适应代沟 竞争选择 替代策略 |
| 文章编号： | 1000-8125(2001)01-0041-04 |
| 收稿时间： | 3/5/1999 12:00:00 AM |
| 修稿时间： | 1999年3月5日 |
The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm |
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| LI Bing and XIE Jian-ying.The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm[J].Control Theory & Applications,2001,18(1):41-44. |
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| Authors: | LI Bing and XIE Jian-ying |
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| Affiliation: | Department of Automation, Shanghai Jiaotong University, Shanghai 200030 ,P. R. China;Department of Automation, Shanghai Jiaotong University, Shanghai 200030 ,P. R. China |
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| Abstract: | 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 real valued coding without loss of quality. |
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| Keywords: | genetic algorithm adapive generation gap tournament selection |
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