  Optimizing the design of spur gears, regarding their mass or failure
reduction, leads to reduced costs. The proposed work is aimed at using Particle
Swarm Optimization (PSO) to solve single and multiple-objective optimization
problems concerning spur gears. Pinion, number of teeth, the module, the face
width, and the profile shift coefficients of both the pinion and wheel. Mass,
gear loss factor, specific sliding, contact ratio, and safety factors are
variables considered for the formulation of the objective function. The results
show that those variables are reduced when compared to the results of the
literature. Mass reduction, for instance, was possible to be achieved due to
the reduction of the gear module and face width, increasing the number of teeth
to achieve the required working center distance of the gear.
