Research On Cooperative Jamming Task Scheduling Technology Based On Artificial Bee Colony Algorithm

Cooperative electronic jamming is an electronic jamming task performed by multiple UCAVs against multiple enemy radars,under the dispatch of a single command center and sharing a communication link to exchange information.As battlefield environment and operational tasks become more and more complex,collaborative operation using multi-UCAV has inevitably become the primary means of future IT-based warfare.The major challenge of such a WTA(Weapon-Target Assignment)problem is to allocate and schedule the operational resources of electronic jamming,so as to maximize the overall jamming effect.Therefore,it is of great theoretical and practical significance to effectively model the task scheduling problem of cooperative electronic jamming.This thesis mainly studies on the technology of cooperative jamming task scheduling in the electronic countermeasure environment.This thesis proposes a new task scheduling model for cooperative jamming called CEJ-TSM.In this model,the endurance indicator is introduced as a negative indicator to evaluate the jamming schemes from a more comprehensive perspective.Moreover,the Improved Global Artificial Bee Colony(IGABC)algorithm is proposed to solve the CEJ-TSM model,which analogizes the search for the optimal solution to the exploration of bees for food.Experiments show that task scheduling can be managed and allocated efficiently by the model and algorithms.Aiming at maximizing the interference task and at the same time minimizing the energy loss of UCAVs,a multi-objective optimization task scheduling model(MOTSM)is proposed.The MOTSM takes contribution value and loss consumption as the objective functions.A task scheduling algorithm based on IMOABC is developed to solve the proposed model.Through the cooperation of the three types of bees,the employed bees,the onlookers and the scouts,the search for the optimal solution is finished.The effectiveness of the proposed model and algorithm is verified by simulation experiments.Finally,the thesis uses the simulation platform NetLogo and presents a platform for task scheduling of cooperative jamming based on NetLogo.Experiments are conducted on the platform to verify models and algorithms proposed in this thesis.Experiments show that our models and algorithms have better performance in task scheduling and can provide an effective technical solution to solve the problem of task scheduling in cooperative jamming.