A new Quantum-behaved Particle Swarm Algorithm used in Robust Design Method in Motion Mechanism
a new quantum-behaved particle swarm optimization algorithm with inverse proportional inertia weight is presented and proved in this paper. Also a robust design method of optimization is used by optimizing the robustness of both the system objective function and constraint functions in solving the problem of breach of condition to the constraint functions. Comparing the solution of the traditional optimization and the solution of the robust optimal design, the robust design parameters display a significant stability in performance when the value of the parameters changed and all the optimizations are solved by this new efficient algorithm.
Quantum behaved particle swarm optimization Inverse-proportional inertia weight robust design optimum design motion mechanism
Zheng Xin LI Qiang
College of Mechanical Engineering Inner Mongolia University of Technology Hohhot, China College of Mechanical and Electrical Engineering North China University of Technology Beijing, China
国际会议
重庆
英文
93-98
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）