浮点数编码小生境遗传算法的研究

小生境在增加遗传算法群体的多样性，提高遗传算法的局部搜索能力方面具有良好的性能。迄今为止，有关小生境遗传算法的研究都是基于二进制编码，缺乏以浮点数编码为研究对象的相应成果。而浮点数编码在提高遗传算法的性能和遗传算法的推广应用中，具有其它编码所无法比拟的优势。本文以浮点数编码为研究对象，研究小生境遗传算法的机理，分析在遗传操作中小生境的生成、合并和分离的动态过程，探索其方法。本文的研究和实验结果表明，浮点数编码小生境遗传算法的性能是可靠的，方法是可行的。

Research on Niche Genetic Algorithm of Float Number Code

Niche has better performance in increasing the population diversity of genetic algorithm (GA), in improving local researching performance of it. So far, research results of relating to niche GA are all on binary code, there are no almoston float number code. But in improving the performance of GA and extending GA'sapplication, float number code is superior to other codes. In this paper, the mechanism of niche GA is researched by it on float number code. Dynamic process is analyzed by it on niche forming and merging and separating in inherit operation. The method is explored by it. The results of its research and experiment indicated that the performance of niche GA of float number code is reliable. The method is feasible.