Particle Swarm Optimization for Cylinder Helical Gear Multi-Objective Design Problems
Yuan Bin Mo · Applied Mechanics and Materials · 2011
The models for many problems in cylinder helical gear design are all multi-objective optimization. But there isn’t an effective algorithm for solving multi-objective optimization, and now the only method for it is changing multi-objective into one objective by weighted average. In this paper a novel multi-objective optimization method based on Particle Swarm Optimization (PSO) algorithm is designed for applying to solve this kind of problem. A paradigm depicted in the paper shows the algorithm is practical.