J. Cagan et al., A CONCEPTUAL-FRAMEWORK FOR COMBINING ARTIFICIAL-INTELLIGENCE AND OPTIMIZATION IN ENGINEERING DESIGN, RESEARCH IN ENGINEERING DESIGN-THEORY APPLICATIONS AND CONCURRENT ENGINEERING, 9(1), 1997, pp. 20-34
Research in artificial intelligence and optimization (OR) has had sign
ificant impact on the formulation and solution of computational method
s in engineering design. This paper presents a conceptual framework fo
r understanding a mole powerful technology that is evolving from a com
bination of these approaches. The paper first proposes generalized rep
resentations of engineering design models that involve quantitative an
d qualitative aspects. Second, it presents a general classification of
AI and OR models in terms of model attributes, in order to establish
mappings with generic solution techniques. Third, the requirements of
solution methods are discussed, as well as several schemes for the int
egration of AI and optimization to identify future research directions
. Several specific approaches are included to illustrate various ways
in which AI and optimization can be combined for tackling computationa
l design models.