基于量子粒子群算法的连杆机构的优化设计

粒子群算法是一种基于鸟群的智能优化方法,量子粒子群算法是对粒子群算法进行改进的算法,运算规则简单,收敛速度快,变量少,易于编程实现。对于多目标、多约束条件的四连杆机构优化设计,本文提出了一种基于量子粒子群算法求解的设计方法。经过仿真实践,能够有效求解,是求解四连杆机构优化问题的一个较好方案。

Optimization Design of Linkage Mechanism Based on Quantum Particle Swarm Optimization

The Particle Swarm Optimization is an intelligent optimization method based on bird flock. The Quantum Particle Swarm Optimization which improves Particle Swarm Optimization, has simple operation rules, fast convergence rate, less variables, and is easy to the realization of program. This paper puts forward the design method based on Quantum Particle Swarm Optimization for optimization design of four bar linkage of multi-objective, multi-constraint conditions. It can be effectively solved through simulation practice. And this design method is a better solution of solving the optimization problem of four bar linkage.