Abstract
It is important to evaluate trade-off among product quality, costs, lead time, etc. in the earliest stages of development for total optimization of product development. This paper shows effectiveness to apply multi-objective optimization as typified by multi-objective GA (Genetic Algorithms) to the functional design stage. Not only Pareto-optimal solutions express the trade-off relationships and limit of design, but also design guidelines are issued by inspecting the classified Pareto-optimal solutions according to the relationship with design variables and constraints. In addition, it is also useful to study capability to improve the Pareto-optimal solutions by analyzing the sensibility of shift of Pareto front to the virtual change of design conditions in the earliest stages of development.
