Abstract:

The dynamic, flexible, optimal and matching information flowing strategy is an important guarantee for information transferring smoothly and flowing efficiently in networked operations. Firstly, correlative concepts of information flowing are defined, and the networked operational information flowing strategy (NOIFS) structure is abstracted. Secondly, the consistent matching measure method for the NOIFS and operational task is given, the adaptive evolution process of the NOIFS is analyzed and the adaptive evolution distance consisting of evolution profit and risk is proposed. Taking the minimum evolution distance between interfacing NOIFSs as an optimization objective, an adaptive evolution model for the NOIFS is built. Thirdly, the progressive optimization algorithm is adopted to search the best evolution path, and the corresponding algorithm process and solving steps are given. Finally, taking aviation aggressive operations as an example, feasibility and validity of the model and the method are verified by the simulation analysis.