基于改进遗传算法的空间信息网恢复策略

由于空间网络的高动态性及资源受限等原因，其可靠性面临严峻考验，亟需一种合理的风险评估及性能恢复方案.针对空间信息网的弹性恢复策略，采用基于改进遗传算法的恢复策略确定受损元件的修复顺序，以加快弹性恢复;采用网络拓扑控制方法，弱化受损关键节点的重要程度，降低网络弹性损失.实验仿真了不同恢复资源数量下采用不同恢复策略的网络弹性损失，结果表明两种方案分别在恢复资源受限及恢复资源匮乏的情况下具有较好的恢复性能.

Spatial Information Network Restoration Strategy Based on Improved Genetic Algorithm

Due to the high dynamics and limited resources of space network， its reliability is faced with severely tested， and a reasonable risk assessment and performance recovery plan was urgently needed. For the elastic recovery strategy of spatial information network， the repair order of damaged components was determined by the recovery strategy based on the improved genetic algorithm， so as to speed up the elastic recovery. The network topology control method was adopted to reduce the importance of damaged key nodes and the loss of network elasticity. The experiment simulates the loss of network resilience with different recovery strategies under different amounts of recovery resources. The results show that the two schemes have better recovery performances when recovery resources are limited and scarce.