Execution of meultidisciplinary design optimization approaches on common test problems

摘要

A class of synthetic problems for testing multidisciplinry design optimization (MDO) approaches is presented. These test problems are easy to reproduce because all functions are given as closed-form mathematical expressions. They are constructed in such a way that the optimal value of all variables and the objective is unity. The stet problems Involve there disciplines and allow the user to specify the number of design variables, state variables, coupling func- Tions, design constraints, controlling design constraints, and the strength of coupling.