Optimal Design of Disk Brake based on Improved Particle Swarm Optimization

Particle Swarm Optimization (PSO) algorithm is an effective evolutionary algorithm. In this paper, the antibody density was introduced into PSO to improve searching characteristics by keeping the diversity of the population. Disk Brake is an important part of the vehicle to ensure the security. The improved PSO is then applied to optimal design of disk brake in order to minimize the brake time under the conditions of geometry constrain, intensity constrain and temperature constrain. The result shows that brake efficiency and the security of the vehicle increase.