卫星网络中面向任务的资源优化算法研究

Study of Resources Optimization Algorithm for Tasks in Satellite Network

针对卫星网络中面向任务的资源优化问题,在资源和任务偏序顺序双重约束下,以完成所有任务时间最短为目标,设计了一种基于遗传算法的资源优化算法,主要针对侦察、计算、存储资源进行优化,能当用户提出任务请求时给出上述三种资源的合理分配方案和任务执行顺序以实现优化。通过实例验证了算法,实验结果表明算法能够在较短时间内求得卫星网络中面向任务的优化问题的近似最优解,性能良好.

About resources optimization for task in the satellite network,this thesis puts forward a resources optimization algorithm based on genetic algorithm. It can be given reasonable allocation scheme of resources and the execution sequence of tasks. Finally,this thesis gives an example and solves it by the prototype system,and analyzes the solutions. The simulation results show that,with the generic algorithm the approximate solution to the optimization problem can be obtained in a shorter time.