MULTI-OBJECTIVE OPTIMAL DESIGN OF AUTOMOTIVE ENGINE USING GENETIC ALGORITHM

A genetic algorithm based optimization method is proposed for a multi-objective design problem of an automotive engine, that includes several difficulties in practical engineerin g optimization problems. While various optimization techniques have been applied to engineering design problems, a class of realistic engineering design problems face on a mixture of different optimization difficulties, such as the rugged nat ure of system response, the numbers of design variables and objectives, etc. In order to overcome such a situation, this paper proposes a genetic algorithm based multi-objective optimization method, that introduces Pareto-optimality based fitness fu nction, similarity based selection and direct real number crossove r. This optimization method is also applied to the design problem of an automotive engine with the design criteria on a total power t rain. The computational examples show the ability of the proposed method for finding a relevant set of Pareto optima.