| 基于宗族进行裂变选择的自适应遗传算法 |
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| 引用本文： | 陈明,顾幸生,赵瑾.基于宗族进行裂变选择的自适应遗传算法[J].医学教育探索,2006(5):596-600611. |
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| 作者姓名： | 陈明 顾幸生 赵瑾 |
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| 作者单位： | 华东理工大学自动化研究所，华东理工大学自动化研究所，南京师范大学电气与自动化工程学院 上海200237，南京师范大学电气与自动化工程学院，南京210042，上海200237，南京210042 |
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| 基金项目： | 上海市科委资助项目
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江苏省教育厅自然科学基金 |
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| 摘 要： | 提出了一种改进的自适应遗传算法,在选择算子中引入裂变选择的思想,避免种群中超级个体的出现,维持了种群的多样性。该算法改造了交叉算子和变异算子,提高了算法的收敛速度,避免早熟。同时,提出了在宗族中构造子代种群的思想,提高了算法的寻优效率。仿真函数优化的结果验证了该算法能有效地维持种群的多样性并迅速找到最优解。
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| 关 键 词： | 遗传算法 选择算子 交叉算子 变异算子 |
| 收稿时间： | 2005/8/15 0:00:00 |
Adaptive Genetic Algorithm Based on Phyle and Disruptive Selection |
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| CHEN Ming,GU Xing-sheng,ZHAO Jin.Adaptive Genetic Algorithm Based on Phyle and Disruptive Selection[J].Researches in Medical Education,2006(5):596-600611. |
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| Authors: | CHEN Ming GU Xing-sheng ZHAO Jin |
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| Abstract: | An improved adaptive genetic algorithm is presented.The disruptive selection is brought(into) selection operator.The selection probability avoids the emergency of super-individual and maintains the diversity in population.In this algorithm,crossover operator and mutation operator are redesigned in order to increase the convergence speed and avoid premature phenomenon.At the same time,through constructing the new generation within phyle,the searching rate in optimization of the algorithm is increased.(Experimental) results show that the improved adaptive genetic algorithm can sustain diversity in population(efficiently) and find the optimal individual quickly. |
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| Keywords: | genetic algorithm selection operator crossover operator mutation operator |
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