空军工程大学学报（自然科学版）2017，Vol.18Issue(4)：86-92,7.DOI:10.3969/j.issn.1009-3516.2017.04.015
基于云遗传算法的不确定性环境下平台资源调度适应性优化方法
A Method for Adaptive Optimization of Platform Resource Scheduling in Uncertain Battlefield Environment Based on Cloud Genetic Algorithm
摘要
Abstract
Aimed at the problem that the uncertain factors exert an influence on platform resource scheduling scheme in the battlefield environment, a platform resource scheduling adaptive optimization method for uncertain events is proposed.In consideration of the uncertainties of both platform loss and task processing time, a mathematical model of adaptive optimization problem of platform resource scheduling with maximum task execution efficiency as objective function is established, According to the uncertainty of the event on the platform resource capacity or task attributes to determine whether to trigger the adaptive optimization of scheduling, a method of solving the problem based on cloud genetic algorithm is designed.The simulation results show that a better relation between platform and task is obtained by using cloud genetic algorithm and the mission completion time is shorten.关键词
平台资源调度/不确定性/适应性优化/云遗传算法Key words
platform resource scheduling/uncertainty/adaptive optimization/cloud genetic algorithm分类
信息技术与安全科学引用本文复制引用
廖梦琛,孙鹏,张杰勇,杜华桦..基于云遗传算法的不确定性环境下平台资源调度适应性优化方法[J].空军工程大学学报（自然科学版）,2017,18(4):86-92,7.基金项目
国家自然科学基金(61573017) （61573017）
