Work

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

Year: 2024

Type: article

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.

Source: IET Control Theory and Applications

DOI: 10.1049/cth2.12766

Authors: Yutong Zhu, Ye Zhang

Institution: Northwestern Polytechnical University

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,300

Funders: Northwestern University, National Natural Science Foundation of China, Northwestern Polytechnical University, Chinese Aeronautical Establishment