MULTI-OBJECTIVE OPTIMIZATION OF GEAR DRIVE USING EVOLUTIONARY ALGORITHM

Multi-objective optimal design for an engineering optimization problem involves various
decision variables and constraints. In engineering applications, objectives under consideration
conflict with each other, and optimizing a meticulous solution with respect to a single objective
can result in objectionable results with respect to the other objectives. A practical solution to a
multi-objective problem is to examine a set of solutions, each of which satisfies the objectives at
a satisfactory level without being conquered by any other solution. In this paper, a new
population based evolutionary algorithm used to optimize the gear drive with combined objective
function which maximises the power, efficiency and minimises the overall weight, centre
distance has been considered. The performance of the proposed algorithms is validated with
three gear materials and results are compared.