一種具有性別特征的遺傳算法

通過對遺傳算法早熟現(xiàn)象的認識，受高等動物進化能夠保持可以產(chǎn)生眾多的變異個體的啟發(fā)，提出了一個具有性別特征的遺傳算法，該算法的交叉算子要求性別不同和雙親不同才能實施，通過實驗函數(shù)的測試表明該算法可以有效地保持種群的多樣性，避免近親繁殖，
有擺脫早熟的能力。特別是和小生境技術(shù)結(jié)合求解多峰函數(shù)質(zhì)量明顯提高。

Understanding the premature phenomenon, this paper introduces a genetic algorithm with sex character enlightened by superior court evolution maintaining many mutation individual. The algorithm requires crossover operators to choose different sexes and different parents to bring
into effect. The test of experimental function makes clear that it could effectively maintain population diversity to avoid close relative propagating,
and it is able to get rid of premature. Especially it joins niche technology to solve multi model function optimization, the solving quality is improved in evidence.