一种防止浮点遗传算法早熟收敛的父代选择策略

通过对浮点遗传算法早熟收敛现象的分析，提出了一种新的父代选择策略，既使用当前代的子代个体作为下代的父代个体，可使交叉算子持续地探索和开发新空间。引入对个体的代数保护策略，即在它发生变异前保证有足够的演化，可以避免对新空间不成熟的开发。通过与其它父代选择策略的对比，并通过实验和GENOCOP系统比较，表明本方法能得到较好的结果。

A parent selection strategy fighting premature convergence in flogting genetic algorthms

With the analysis of the premature convergence of floating genetic algorithms (FGAs), a new selection strategy is proposed by using the children individuals of current generation as the parent of next generation, which makes the crossover operator to explore and exploit in new spaces successively. Aprotectionstrategyfortheevolvedgenerationsfor individuals is introduced to guarantee enough evolution before the mutation occur, which avoids immature exploitation for new spaces. Compared with the results of GENOCOP system by experiment, this selection strategy provids better solutions.