一种基于遗传算法的“正向”扫雷效果评估解法

The Direct Solution Based on Genetic Algorithm to Estimating Effect of Naval Mine-sweeping

基于Markov链的扫雷作战效果评估是一个小样本数据条件下的约束方程组求解问题,常规搜索加逐步回归算法的"反向"解法在处理约束条件时会遇到较大的困难。利用遗传算法强大的搜索能力,设计了一种"正向"解法,取得了较好的效果。

Since the mine-sweeping combat effect evaluating based on Markov chain is a solution problem of constraint equation group under the condition of small swatch data, the ＂reverse＂ solution of general seareh plus stepwise regression arithmetic will meet biggish difficulty to deal with restriction qualification. Using large searching ability of genetic arithmetic, a ＂positive＂ solution is designed and good effect is acquired.