| 基于寿命的变种群模糊遗传算法 |
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| 引用本文： | 何宏,钱锋.基于寿命的变种群模糊遗传算法[J].小型微型计算机系统,2006,27(6):992-995. |
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| 作者姓名： | 何宏 钱锋 |
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| 作者单位： | 1. 华东理工大学,信息科学与工程学院,上海,200237;上海师范大学,机械与电子工程学院,上海,201418
2. 华东理工大学,信息科学与工程学院,上海,200237 |
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| 基金项目： | 高比容电子铝箔的研究开发与应用项目;国家科技攻关项目 |
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| 摘 要： | 针对简单遗传算法存在早收敛和在进化后期搜索效率较低的缺点，提出了一种种群数变化的模糊遗传算法．该算法对进化种群数进行宏观调控的同时，再用个体寿命限制个体的生存期，实现对种群数的微观调控．并采用模糊控制器控制交叉率，使其能够根据进化的实际情况自动调整．实验数据表明这种方法能够有效防止早收敛，大大改善遗传算法收敛性能．
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| 关 键 词： | 遗传算法 早收敛 种群数 模糊控制 |
| 文章编号： | 1000-1220（2006）06-0992-04 |
| 收稿时间： | 07 26 2005 12:00AM |
| 修稿时间： | 2005-07-26 |
Fuzzy Genetic Algorithm with Varying Population Size |
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| HE Hong,Qian Feng.Fuzzy Genetic Algorithm with Varying Population Size[J].Mini-micro Systems,2006,27(6):992-995. |
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| Authors: | HE Hong Qian Feng |
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| Affiliation: | 1.Information Science and Engineering Institute, East China University of Science and Technology, Shanghai 200237, China;2.College of Mechanical and Electronic Engineering, Shanghai Normal University, Shanghai 201418, China |
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| Abstract: | Proposed a fuzzy genetic algorithm with varying population size (FGAVPS) to overcome premature convergence and slow convergent speed at later evolution process of simple genetic algorithm. FGAVPS uses both macroscopical control and microsonioc control based on lifetimes of the chromosomes to realize population size adaptation. The crossover rate of the algorithm is also tuned automatically in the evolutionary process by a fuzzy controller. The experiments show FGAAPS can efficiently avoid premature convergence and greatly improve the performance of genetic algorithm. |
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| Keywords: | genetic algorithms premature convergence population size fuzzy control |
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