摘要
针对目前基于离散人工蜂群(DABC)算法的干扰波形决策存在迭代次数多、寻优概率低等问题,提出一种基于最优差异导向的混沌多维离散人工蜂群(ODCM-DABC)算法的干扰波形决策方法。通过引入最优差异矩阵对蜜源进行更新、多维搜索和贪婪选择的方式确定更新维度、Tent混沌序列初始化种群等操作,对干扰波形决策模型进行求解。仿真结果表明,所提算法在进行干扰波形决策时,与传统DABC和GA算法相比,需要的迭代次数更少、寻优概率更高,能够改善干扰波形决策系统的性能,具有一定的普适性。
Interference waveform decision-making based on the traditional Discrete Artificial Bee Colony(DABC) algorithm needs to iterate many times and its optimization probability is low.To solve the problem,a method for interference waveform decision-making based on optimal difference oriented chaotic multi-dimensional DABC algorithm is proposed.The method introduces optimal difference matrix to update nectar source,uses multi-dimensional search and greedy selection to determine the update dimension,and introduces Tent chaotic sequence to initialize the population,so as to solve the interference waveform decision model.The simulation results show that,compared with the traditional DABC algorithm and Genetic Algorithm(GA),the improved algorithm requires fewer times of iteration with higher optimization probability when making interference waveform decisions.The method can improve the performance of interference waveform decision-making system with certain universality.
作者
戴少怀
杨革文
李旻
赵智剑
余科
DAI Shaohuai;YANG Gewen;LI Min;ZHAO Zhijian;YU Ke(Shanghai Electro-Mechanical Engineering Institute,Shanghai 201000,China)
出处
《电光与控制》
CSCD
北大核心
2021年第7期53-56,116,共5页
Electronics Optics & Control
基金
上海航天科技创新基金(SAST2019-001)。
