A Framework of Multiobjective Collaborative Optimization

Abstract

A framework for solving the multiobjective optimization problems in multidisciplinary design environment is advised in this paper. Based on the collaborative optimization (CO) algorithm, a new system level objective function is advised to minimize relative value between the collaborative objective function and single disciplinary objective function. It eliminates the effect of dimensions and magnitude orders among different disciplinary objective functions. A new subsystem level objective function is developed that includes the disciplinary objective function and the consistency constraint. A new framework of multiobjective collaborative optimization (MOCO) is developed. In MOCO framework, the system level optimizer does not only independently invoke the subdisciplinary analysis tools, but also invoke its subdisciplinary optimizer. The feasibility and reliability of the MOCO are highlighted by the successful convergence of two examples.