Cooperative Pursuit-Evasion Decision Based on Adaptive Discrete Pigeon-Inspired Optimization

Cooperative tracking decision-making is the core of distributed intelligent warfare, which enables UAVs to independently generate control instructions and complete air combat tasks according to the environmental situation. Aiming at the problem that traditional heuristic algorithm are prone to conplict when dealing with complex target assignment in discrete space, in this paper, a cooperative pursuit-evasion decision making method is proposed based on adaptive discrete pigeon-inspired optimization algorithm. The pursuit-evasion decision problem is converted to a target allocation problem and the pigeon-inspired optimization (PIO) is introduced to obtain the optimal solution. The adaptive strategy and discrete process are utilized to improve the basic PIO algorithm. Simulation results show that the proposed method can effective and feasible for cooperative pursuit-evasion task.