| 基于完全自适应策略的遗传算法 |
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| 引用本文： | 向佐勇,刘正才.基于完全自适应策略的遗传算法[J].中南林业科技大学学报,2007,27(5):136-139. |
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| 作者姓名： | 向佐勇 刘正才 |
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| 作者单位： | 中南林业科技大学理学院，湘潭大学信息工程技术学院 湖南长沙410004，湘潭大学信息工程技术学院，湖南湘潭411105，湖南湘潭411105 |
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| 摘 要： | 为改善标准遗传算法的优化性能,延长种群搜索过程,提出了完全自适应策略的遗传算法.自适应策略不仅基于进化阶段,同时基于个体,特别采用了自适应的适应值转换策略,大大降低了早熟的概率,保证算法能以较大的概率收敛到全局最优解.
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| 关 键 词： | 标准遗传算法 自适应遗传算法 选择 交叉 变异 适应值 |
| 文章编号： | 1673-923X（2007）05-0136-04 |
| 收稿时间： | 2007-05-21 |
| 修稿时间： | 2007年5月21日 |
Genetic Algorithm Based on a Completely Self-adaptive Strategy |
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| XIANG Zuo-yong,LUI Zheng-cai.Genetic Algorithm Based on a Completely Self-adaptive Strategy[J].Journal of Central South Forestry University,2007,27(5):136-139. |
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| Authors: | XIANG Zuo-yong LUI Zheng-cai |
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| Abstract: | In order to improve SGA's optimization ability and to prolong its searching process,a new genetic algorithm based on a completely self-adaptive strategy is put forward.With the strategy in its evolutionary stage and based on individuality,this algorithm greatly reduces the probability of precociousness and reaches a general optimal solution in higher probability by using the strategy of converting fitness. |
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| Keywords: | SGA self-adaptive genetic algorithm selection cross mutate fitness |
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