摘要
基于探测任务流程和装备工作特点,构建了某类多种型号装甲车载探测装备协同调度模型,并采用多目标遗传算法进行了求解,进而得到了最优探测方案,最后通过仿真算例验证了模型的有效性,研究成果对某类装甲车载探测装备的运用实践具有借鉴作用。
Based on the detection task flow and equipment work characteristics,the cooperative scheduling model for a certain type of armored vehicle on-board detection equipment is constructed.The multi-objective genetic algorithm is used to solve the problem and then the optimal detection scheme is obtained.Finally,the effectiveness of the model is verified by a simulation example.The research results have a reference value for the application practice of a certain type of armored vehicle on-board detection equipment.
作者
郭健
柴华
王磊
许庆
GUO Jian;CHAI Hua;WANG Lei;XU Qing(Space Engineering University,Beijing 101416,China)
出处
《装甲兵学报》
2023年第2期57-64,共8页
Journal of Armored Forces
基金
国家社会科学基金重大项目(2020-SKJJ-J-A-001)
关键词
装甲车载探测装备
协同调度
探测方案
多目标遗传算法
armored vehicle on-board detection equipment
collaborative scheduling
detection plan
multi-objective genetic algorithm
作者简介
郭健(1987—),男,讲师,博士研究生。
