Unmanned Engineering Support Task Allocation for Amphibious Island Landing Operations

The harshness of amphibious landing operations has made unmanned equipment an important development direction for engineering support tasks in amphibious landing operations. This paper proposes a task allocation method based on fitness ranking genetic algorithm for unmanned engineering support tasks in amphibious landing operations. Firstly, an unmanned engineering support task allocation model is constructed considering the optimal objectives of engineering task completion time and equipment consumption, as well as constraints such as task sequence. Secondly, the genetic algorithm is combined with multi-dimensional dynamic list scheduling, and an improved genetic algorithm based on fitness ranking is proposed by introducing a mutation rate updating operation. The task assignment plan is obtained by using the improved genetic algorithm. Finally, simulation experiments based on hypothetical scenarios are conducted to verify the effectiveness and superiority of the algorithm, which can provide technical support for the execution of unmanned engineering support tasks in amphibious landing operations.