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| 一种新的改进遗传算法及其应用 | |
| 引用本文： | 蒲若昂,李志华,宋国新. 一种新的改进遗传算法及其应用[J]. 计算机应用与软件, 2007, 24(10): 171-172,221 |
| 作者姓名： | 蒲若昂 李志华 宋国新 |
| 作者单位： | 华东理工大学信息科学与工程学院,上海,200237;华东理工大学信息科学与工程学院,上海,200237;华东理工大学信息科学与工程学院,上海,200237 |
| 摘 要： | 研究并提出了一种基于模式的改进遗传算法,该算法加强了好的模式对群体的影响,在收敛速度和防止陷入局部最优解取得了平衡.在一个经典测试函数的仿真实验中,与基本遗传算法(SGA)和自适应遗传算法(AGA)相比,该改进遗传算法表现了良好的效果. |
| 关 键 词： | 遗传算法 模式定理 积木块假设 函数优化 |
| 修稿时间： | 2005-08-30 |
AN IMPROVED GENETIC ALGORITHM AND ITS APPLICATION |
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| Pu Ruoang,Li Zhihua,Song Guoxin. AN IMPROVED GENETIC ALGORITHM AND ITS APPLICATION[J]. Computer Applications and Software, 2007, 24(10): 171-172,221 | |
| Authors: | Pu Ruoang Li Zhihua Song Guoxin |
| Affiliation: | School of Information Science and Engineering,East China University of Science and Technology, Shanghai 200237, China |
| Abstract: | An improved genetic algorithm based on schema is introduced. In the algorithm, the positive role of good schema is strengthened. It improves the convergence speed, and it does not tend to be trapped by local optimizations easily. The experiment performed with two classical functions shows that comparing with simple genetic algorithm and adaptive genetic algorithm, the improved genetic algorithm performs better. |
| Keywords: | Genetic algorithm Schemata theorem Building block hypothesis Function optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |