Constraint solving and preference activation for interactive design

Authors:
Claudio Lottaz;Ruth Stalker;Ian Smith
Affiliations:
AI Lab (LIA) and Computer Science Department, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;Institute of Structural Engineering and Mechanics (ISS-IMAC), Department of Civil Engineering, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;Institute of Structural Engineering and Mechanics (ISS-IMAC), Department of Civil Engineering, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
1998

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Abstract

This article contains a description of a constraint solver that determines complete solution spaces. These spaces are defined by sets of constraints in continuous variables. Interactive design is supported through improvements to existing algorithms that have increased system performance. In addition, heuristics for activating the best set of preferred constraints for a design task are presented, and two ways are proposed for interactively exploring design alternatives. IDIOM is an application framework that has successfully tested these algorithms for interactive apartment layout design.