| 小生境技术对遗传算法的改进作用研究 |
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| 引用本文： | 周北岳,郭观七.小生境技术对遗传算法的改进作用研究[J].湖南理工学院学报,2001,14(4):18-21. |
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| 作者姓名： | 周北岳 郭观七 |
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| 作者单位： | 周北岳（岳阳师范学院机电系,湖南,岳阳,414000）
郭观七（岳阳师范学院机电系,湖南,岳阳,414000） |
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| 摘 要： | 将标准遗传算法用于最优化问题时存在早熟收敛和后期收敛速度缓慢的现象.本文扼要分析了遗传算法的运行机制,提出一种基于小生境改进遗传算法;对复杂函数的遗传优化仿真实验数据表明,改进的遗传算法不但具有良好的全局收敛可靠性,而且具有快的收敛速度.
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| 关 键 词： | 小生境 遗传优化 仿真 |
| 文章编号： | 1008-620X(2001)04-0018-04 |
| 修稿时间： | 2001年8月5日 |
Research of Improving Genetic Algorithms Based on Niche Technology |
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| ZHOU Bei-yue,GUO Guang-qi.Research of Improving Genetic Algorithms Based on Niche Technology[J].Journal of Hunan Institute of Science and Technology,2001,14(4):18-21. |
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| Authors: | ZHOU Bei-yue GUO Guang-qi |
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| Abstract: | Canonical genetic algorithms have the defects of prematurity and stagnation when applied in optimizing problems.This paper briefly analyzed the work mechanism of the canonical genetic algorithms,a class of variation based on niche technology was proposed,which can improve the searching stability and increase the diversity of individuals in populations.The emulation experiment data has of optimizing convergence reliability,but also higher converging velocity. |
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| Keywords: | niche genetic optimization simulation |
| 本文献已被 CNKI 等数据库收录！ |
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