From military, industry, agriculture to artificial intelligence and other fields, unmanned aerial vehicles (UAVs) have been widely used. Task allocation and path planning are the two most basic technologies in all the application research of UAV. As the core of multi-aircraft tactical deployment and cooperative control, the task allocation scheme largely determines the operational efficiency and execution effect of multi-UAVs. Due to the influence of the task environment and its own resources, the multi-machine cooperative task allocation problem is a multi-objective optimization and decision-making problem limited by many constraints. In recent years, many methods of task assignment and path planning have been put forward, and some progress has been made. According to the overall control of the application scenario, the task planning makes a reasonable task allocation scheme for the UAV to help it complete the task better. Multi-UAV task assignment is a complex multi-constraint multi-objective nonlinear optimization problem. Aiming at the respective defects of common intelligent algorithms, this paper proposes to use fireworks algorithm to deal with this problem.

Yingzhuo Zhang, Xiaojian Wang. Research on UAV Task Assignment Based on Fireworks Algorithm. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 5: 103-107. https://doi.org/10.25236/AJCIS.2022.050514.

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