计算机工程2011，Vol.37Issue(21)：264-266,3.DOI:10.3969/j.issn.1000-3428.2011.21.090
基于分布式优化的协同干扰任务分配研究
Research on Collaborative Jamming Task Assignment Based on Distributed Optimization
黄郡 1单洪 1满毅 1陈娟2
作者信息
- 1. 解放军电子工程学院网络工程系,合肥230037
- 2. 解放军炮兵学院军事通信教研室,合肥230031
- 折叠
摘要
Abstract
To the objectives of guaranteeing covering quality of jamming region and using the least energy consumption, a task assignment model of collaborative jamming is proposed. A centralized task assignment optimization decision is decomposed into the decentralized optimization of several single virtual task regions under the framework of Distributed Collaborative Optimization(DCO), and a method of optimization mode based on decomposition-coordination and heuristic genetic algorithm is implemented to the solution for the decentralized optimization. Simulation results show that the DCO-based method can significantly reduce the size of task assignment optimization decision problems and avoid the problem of "curse of dimensionality", and that it is, a feasible method for collaborative jamming.关键词
协同干扰/任务分配/分布式协同优化/分解-协调/启发式遗传算法Key words
collaborative jamming/task assignment/Distributed Collaborative Optimization(DCO)/decomposition-coordination/heuristic genetic algorithm分类
信息技术与安全科学引用本文复制引用
黄郡,单洪,满毅,陈娟..基于分布式优化的协同干扰任务分配研究[J].计算机工程,2011,37(21):264-266,3.
