Study on a Solution of Pursuit-evasion Differential Game Based on Artificial Fish School Algorithm

摘要

A resistance model with multi-parameter in the three-dimensional space by studying on the model of pursuit-evasion differential game is constituted. Based on the researching of artificial fish school algorithm, an intelligent optimum algorithm of differential game on the basis of artificial fish school algorithm is proposed. This algorithm has definite adaptive ability, which two point boundary value problem of differential game is solved using packaging two artificial fish colonies with the initial condition of the pursuit-evasion player. With the help of setting step and visual of the fish, the numerical solutions of the model is solved, avoiding solving the complex two point boundary value problem directly. Simulation result shows that this algorithm has stronger robustness, the time of the calculation is short and the model accords with more realistic counterworking.