Guo X., Zhang Z., 2018, Study on the Path Planning Method for Oilfield Patrolling UAV based on Leapfrog Particle Swarm Optimization, Chemical Engineering Transactions, 66, 961-966.
To improve the path planning method for traditional oilfield patrolling UAV. Based on the complex network theory and the example for path planning, search for the rough path through Dijkstra algorithm. The results of simulation analysis shows that the improvement of improved particle swarm optimization can help converge to the minimum value faster, and can reach the theoretical minimum value of the function, showing a good algorithm performance. The adaptive inertial coefficient method for the algorithm in this Paper may automatically adjust the inertial coefficients, which accelerates the convergence speed of the algorithm, and enhances the convergence performance of the algorithm.
