| 一种自适应杂交算子的浮点遗传算法 |
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| 引用本文： | 都伟,韩正之.一种自适应杂交算子的浮点遗传算法[J].系统仿真学报,2006,18(6):1711-1713. |
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| 作者姓名： | 都伟 韩正之 |
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| 作者单位： | 上海交通大学电子信息与电气工程学院,上海,200030 |
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| 摘 要： | 为了提高浮点遗传算法在优化问题时的收敛速度与求解精度,提出了一种基于进化代数和个体适应值的杂交算子,该算子根据每代个体的适应度与进化代数的变化情况自适应调整交叉操作。使杂交向有利于算法收敛的方向进行。通过几个仿真计算的实例,验证了这种杂交算子相对于普通杂交算子能有效地提高浮点遗传算法的收敛效率。
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| 关 键 词： | 浮点遗传算法 自适应杂交算子 进化代数 个体适应值 |
| 文章编号： | 1004-731X（2006）06-1711-03 |
| 收稿时间： | 2005-04-29 |
| 修稿时间： | 2006-02-23 |
Float-point Genetic Algorithm with Self-adaptive Crossover Operator |
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| DU Wei,HAN Zheng-zhi.Float-point Genetic Algorithm with Self-adaptive Crossover Operator[J].Journal of System Simulation,2006,18(6):1711-1713. |
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| Authors: | DU Wei HAN Zheng-zhi |
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| Institution: | School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | To improve the speed and precision of reaching optimal solutions,a new crossover operator based on the generation number and individual fitness was introduced for the float-point genetic algorithm.The effectiveness of this new operator was demonstrated on the simulation of several experiments.The result shows its validity over a general crossover operator. |
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| Keywords: | float-point genetic algorithm self-adaptive crossover operator generation number individual fitness |
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