Collaborative Optimization Study of Topography Optimization and Size Optimization Basing on Quantum-behaved Particle Swarm Algorithm

Abstract

The quantum-behaved particle swarm algorithm combines topography optimization with size optimization to realize the collaborative optimization of topography optimization and size optimization, the objective is to find the minimum of size parameter as optimization objective when the optimization objective satisfies the stiffness requirement of topography optimization, thus the material cost is saved. In the end, the feasibility of the algorithm is proved through the example of a pure electric car floor, after optimization, the minimum of the floor mass satisfying the floor stiffness requirement is found.