基于差分进化的临近空间探测资源调度  

Detection Resource Scheduling of Near Space Based on Differential Evolution

作　　者：戴静[1] 程建[1] 宋敏[2] 

机构地区：[1]空军工程大学电讯工程学院工程学院,西安710077 [2]空军工程大学工程学院,西安710077

出　　处：《计算机工程》2010年第18期220-222,共3页Computer Engineering

摘　　要：针对临近空间预警探测平台的协同资源调度问题,根据临近空间探测资源与探测任务的特点,考虑多种实际约束条件,构建临近空间探测资源的优化调度模型。根据该模型规模大、求解复杂的情况,提出一种基于种群灾变的自适应差分进化算法求解模型。仿真实验结果表明,该算法相比传统算法收敛速度更快、寻优能力更强。Aiming at the cooperation resource scheduling problem of near space warning detection platform, by analyzing traits of near space detectors and detecting tasks, and considering all kinds of constrains, this paper constructs a detection resource optimization and scheduling model of near space. In order to solve the large-scale and complicated model, an adaptive Differential Evolution（DE） based on population catastrophe is developed. Simulation results show that the algorithm has higher convergence speed and better optimization capability than traditional algorithms.

关 键 词：临近空间 探测资源 差分进化 种群灾变 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]