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中文摘要：
针对应召反潜中敌潜艇直线型规避行为,提出了一种基于遗传算法的对潜螺旋搜索方法。首先建立每段搜索路径中的搜索概率模型,再利用遗传算法对此模型进行优化,选取满足搜索概率最大的搜索器转向角。在搜索任务中要利用上一阶段的探测情况来实时地确定下一阶段的搜索路径,不断地排除敌潜艇不存在区域的角度,具有在短时间内搜索范围大、搜索效率高的特点。与传统螺旋搜索法相比,较好地提高了搜索概率。
英文摘要：
According to the characteristics of the definite second time submarine search,a novel helix search based on genetic algorithms was proposed to solve search optimization problems.Firstly,the model of search probability of every search path was established.Then the model was optimized by genetic algorithms,to choose the best turning angle which made the search probability the greatest.This algorithm used the last detection situation to decide the next real-time search path,in order to exclude continually the area which the submarine is not in.It has characteristic of great search scope and high search probability in short search time.Compared with conventional helix search,this algorithm preferably improves the search probability.
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