A study of convergence and mapping in preliminary vehicle design. (17th January 2006)

• Record Type: Journal Article
• Authors: Ferguson, Scott; Gurnani, Ashwin; Donndelinger, Joseph; Lewis, Kemper
• Is Part Of: International journal of vehicle systems modelling and testing. Volume 1:Number 1/2/3(2005)
• Page Start: 192
• Page End: 215
• Publication Date: 2006-01-17
• Subjects: multiobjective optimisation -- performance space -- design space -- algorithm convergence -- vehicle feasibility -- genetic algorithms -- vehicle design -- design configurations -- performance specifications -- automobile design -- technical feasibility model -- design feasibility -- preliminary design; Motor vehicles -- Design and construction -- Periodicals; Motor vehicles -- Testing -- Periodicals; Motor vehicles -- Mathematical models -- Periodicals; 629.2310151
• Languages: English
• ISSNs: 1745-6436

Abstract

In this paper, we investigate the issue of convergence in multi-objective optimisation problems developed for vehicle analyses when using a Multi-Objective Genetic Algorithm (MOGA) to determine the set of Pareto optimal automobile configurations. Additionally, given a Pareto set for a multi-objective problem, the mapping between the performance and design space is studied to determine new automobile design configurations for a given set of performance specifications. The advantage of this study is that the automobile's design information is obtained without having to repeat system analyses. The tools developed in this paper are applied both to a simple multi-objective optimisation problem to illustrate the methodology and to a preliminary vehicle design framework to develop a Technical Feasibility Model (TFM) for use in the early stages of automobile design.