Optimization calculation method based on improved adaptive quantum particle swarm optimization algorithm

The invention aims to provide an optimization calculation method based on an improved adaptive quantum particle swarm optimization algorithm. The technical scheme adopted by the invention is that appropriate evaluation indexes are established according to requirements, the optimization degree of each particle is distinguished, and different inertia weights are automatically distributed according to the optimization state of each particle. The optimization calculation method solve adjustment problems single control parameter and single inertia weight linear decrease in the traditional QPSO (Quantum Particle Swarm Optimization) algorithm. The global optimization ability of the algorithm can be effectively improved through adjusting the inertia weights of particles with different optimizationdegrees in a targeted manner. 本发明的目的在于提供种基于改进的具有适应性的量子粒子群算法的优化计算方法，本发明采取的技术方案是根据需要建立合适的评价指标，区分各粒子的优化程度，依据各粒子优化状态自行分配不同的惯性权值。本发明解决了传统QPSO算法中唯的控制参数，惯性权重线性减少的单的调整问题。通过针对性地调整不同优化程度的粒子的惯性权重，能够有效提高算法全局寻优的能力。