测控技术2018，Vol.37Issue(3)：18-22,5.
基于改进蜂群算法的多传感器目标分配方法
Multi-Sensor Target Allocatioin Method Based on Improved Bee Colony Algorithm
熊典葳 1王少鹏2
作者信息
- 1. 重庆交通大学河海学院,重庆400074
- 2. 西安交通大学电子与信息工程学院,陕西西安710049
- 折叠
摘要
Abstract
In order to solve the problems of many parameters,complex computation,poor real-time performance and low global search capability of previous algorithms in multi-sensor target allocation,based on the analysis of its mathematical model and the improved artificial bee colony optimization,the objective function is optimized and the allocatioin scheme is determined.In the improved algorithm,following-bee chooses the leadingbee in the way of bidirectional roulette,and the adaptive step strategy of firefly algorithm is used to dynamically adjust the search behavior of following-bee,which helps to improve the convergence speed and enhance the local search ability of the algorithm.Simulation results show that the improved colony algorithm can effectively solve the problem of multi-sensor target allocation.Compared with the basic bee colony algorithm,both the convergence speed and the local search ability are enhanced,and has strong practical value.关键词
改进蜂群算法/双向轮盘赌/自适应步长/目标分配Key words
improved bee colony algorithm/bidirectional roulette/adaptive step size/target assignmentt分类
信息技术与安全科学引用本文复制引用
熊典葳,王少鹏..基于改进蜂群算法的多传感器目标分配方法[J].测控技术,2018,37(3):18-22,5.
