Evaluating Design Optimization Models

Abstract

Design optimization is an important engineering design activity. Research on design optimization has considered better solution methods as well as novel formulations. Although there exist well-established measures for evaluating solution methods (both exact algorithms and heuristics), attributes for evaluating a design optimization model do not exist. This paper presents a comprehensive approach for evaluating a design optimization model along the following dimensions: scope, variable set, objective function, and model structure. Using these attributes distinguishes design optimization models from each other and helps one locate relevant design optimization models. Moreover, they may lead to a comprehensive classification scheme. Finally, they will be useful for assessing design optimization research.