Abstract
High-grade asphalt pavement construction, with a huge amount of investment and complicated construction technology, is a dynamic and collaborative production process completed by construction machines. The optimum configuration is a difficult problem. In this paper, an immune genetic algorithm (IGA) is proposed to solve it. In the algorithm design, the improvement of immune operators ensures the global convergence of the algorithm, and accelerates the convergence speed; the introduction of antibody concentration factor maintains the diversity of the population; the leading position of excellent antibody is kept by excellent memory cell. The results of contrastive experiments show that this algorithm is superior to other related methods both on the quality of solution and on the convergence rate. A new method is presented to optimize configuration of construction machines for asphalt pavement.