摘要
Abstract
For navy ships formation cooperative call search problem of moving target,set up and optimize multiple search path planning model,and considering the sonar searching effective width and Angle effect on detecting ability,According to the planning model,we design a genetic algorithm with adaptive population co-evolution,more use of competitive exclusion principle guiding multiple populations,maintain differentiation between the various groups and the overall coordination and orderly,to improve the search efficiency,Through classification and within the population evolution selection,adaptive crossover and targeted mutation improved genetic operation,ensure the spread of dominant genes,and accelerate the convergence speed,dynamically adjust the balance of the global search and local search,avoid evolved into local optimum,Based on the direction of the unknown target motion of collaborative search example simulation,obtained the collaborative search optimal path,compared with conventional call search methods show that the method in terms of global optimization and search efficiency has some advantages,is suitable for solving the formation cooperative call antisubmarine search problem.关键词
编队协同/应召搜索/路径规划/协同进化/自适应遗传算法Key words
formation cooperative/antisubmarine search/path planning/cooperative evolution/adaptive genetic algorithm分类
军事科技
