A game‐theoretic cooperative path planning strategy using hybrid heuristic optimization algorithm

Abstract A novel method based on game theory and LCD‐SCA optimization algorithm is proposed for solving the cooperative path planning challenge for multiple UAVs in a desired formation configuration. The cooperative path planning problem is solved by identifying the optimal strategy for the Stackelberg‐Nash game. The conventional sine‐cosine algorithm method is enhanced by incorporating linear differential decrement, chaos theory, and differential evolution, and the proposed heuristic method is integrated into the path planning problem. An optimal strategy for finding the game by minimising the global cost function via the heuristic method is integrated. Extensive simulation and comparison results are provided to evaluate the performance through simulation, compared with the previous work on path planning.