Research on unmanned vehicle trajectory planning problem based on genetic algorithm
Haokun Xie · Science and Technology of Engineering Chemistry and Environmental Protection · 2024
In this study, a method based on Genetic Algorithm and optimal control for path planning of an unmanned vehicle is proposed. This work discretizes the optimal control problem into a nonlinear programming problem and resolves it to enhance the initial answer. All physical quantities are incorporated as variables into the problem-solving process and limited by an objective function to derive the optimum trajectory.