A METAHEURISTIC FOR SOLUTION SPACE MODELLING
DS 92: Proceedings of the DESIGN 2018 15th International Design Conference
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Poulain, Benjamin; Naumann, Thomas; Stal-Le Cardinal, Julie; Anderer, Janina
Section: DESIGN SUPPORT TOOLS
DOI number: https://doi.org/10.21278/idc.2018.0323
To confront current market changes, Set-Based Design (SBD) should help carmakers improve time, cost and quality in early design phase. In a development process using ever more computer experiments, building predictive models of the solution space is key to implementing SBD. The present article proposes a new algorithm to build high quality predictive metamodels efficiently and tests it on several benchmark problems. Promising results are obtained. We believe such models could be used for several purpose in design: implementing SBD, optimisation and generating feasible concepts, among others.
Keywords: computational design methods, solution space engineering, simulation based design, set-based design, early design phase