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本文提出正交遗传算法 .该算法把正交设计与遗传算法结合起来 ,用正交设计确定区间水平 ,在每个区间水平按遗传算法进行搜索 ,正交设计能够发现包含最好解的区间水平 ,再在这个区间水平使用遗传算法进行搜索 .反复使用上述算法 ,当前区间水平变小 .最后 ,当前区间水平变为一点了 ,它就是这些区间水平的最优点 .借助正交设计 ,本文证明了正交遗传算法是收敛的和进行了计算机模拟 .模拟结果显示该算法是有效的和可行的 .
In this paper, orthogonal genetic algorithm is proposed, which combines orthogonal design and genetic algorithm to determine the interval level by orthogonal design and search by genetic algorithm at each interval level. The orthogonal design can find the interval level containing the best solution , And then use this genetic algorithm to search the level of interval.Using the above algorithm repeatedly, the current interval becomes smaller.Finally, the current interval becomes a point, which is the optimal point of these intervals.Using orthogonal design, this paper proves The orthogonal genetic algorithm is convergent and has been computer simulated. The simulation results show that the algorithm is effective and feasible.