| 改进的模糊交叉算子及其在CGA中的应用 |
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| 引用本文： | 颜颖,缑锦.改进的模糊交叉算子及其在CGA中的应用[J].计算机工程,2008,34(5):176-178. |
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| 作者姓名： | 颜颖 缑锦 |
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| 作者单位： | 华侨大学信息科学与工程学院,泉州,362021 |
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| 基金项目： | 国家自然科学基金
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福建省自然科学基金
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福建省青年科技人才创新基金 |
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| 摘 要： | 基于标准化适应值信息，提出改进的模糊交叉算子，并应用到细胞状遗传算法(CGA)中。在具有局部搜索倾向的交叉操作中，该算子能使后代更偏向于适应值高的父体。在具有全局搜索倾向的交叉操作中，能使较差个体在更大范围内进行搜索，有效地引导CGA算法向全局最优解的方向收敛。仿真实验结果表明，基于改进模糊交叉算子的CGA算法性能更好。
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| 关 键 词： | 模糊交叉算子 多峰分布 三角概率分布 细胞状遗传算法 |
| 文章编号： | 1000-3428（2008）05-0176-03 |
| 收稿时间： | 2007-08-15 |
| 修稿时间： | 2007年8月15日 |
Advanced Fuzzy Recombination Operator and Its Application in CGA |
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| YAN Ying,GOU Jin.Advanced Fuzzy Recombination Operator and Its Application in CGA[J].Computer Engineering,2008,34(5):176-178. |
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| Authors: | YAN Ying GOU Jin |
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| Affiliation: | (College of Information Science and Engineering, Huaqiao University, Quanzhou 362021) |
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| Abstract: | An advanced fuzzy recombination operator named SFFRO is proposed based on standardized fitness and applied to Cellular Genetic Algorithm(CGA). The exploitative SFFRO has much more probability to generate offspring closer to the parent with higher fitness, and in the other hand, the explorative SFFRO tends to search in a larger scale for the parent with lower fitness. Therefore, SFFRO indicates the potential search direction and accelerates the convergence to global optimum. In the simulation research, experimental results show that CGA based on SFFRO obviously outperforms others in terms of efficiency and reliability. |
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| Keywords: | fuzzy recombination operator multimodal distribution triangular probability distribution cellular genetic algorithm |
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