Optimal firing planning on high efficient car via PSO algorithm

Recently, Honda Eco Mileage Challenge, which is one of the most important contests in the world to encourage high-efficient car and environmental protection, mainly has been attracted by the communities of mechanism engineering, control system, vehicle engineering and computer science, etc. Generally speaking, the final score of HEMC contest is mainly related to the number of the firing in the whole process. In essence, the firing planning problem is a typical constraint optimization problem with several objectives. In order to obtain the good score in the HEMC contest, the PSO algorithm is utilized to optimize the number of the firing, the concrete firing time and the concrete position of each track in the whole process. To demonstrate the effectiveness and high performance of PSO algorithm, numerical results in the firing planning problem can help the driver to provide the firing time and the concrete firing position in the F1 racing track.