Join Us Sign In

Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Comparison of evolutionary, reinforcement and active learning for simulation-based design space exploration

Bleisinger, Oliver (1); Keil, Mareike Victoria (2); Eigner, Martin (3)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Bleisinger, Oliver (1); Keil, Mareike Victoria (2); Eigner, Martin (3)
Series:
DESIGN
Institution:
1: RPTU University Kaiserslautern-Landau, Germany; 2: University of Mannheim, Germany; 3: EIGNER engineering consult, Germany
Page(s):
2203-2212
DOI number:
10.1017/pds.2026.10578
ISSN:
2732-527X (Online)
Abstract:
Trade-off studies often use the design of experiments approach, while simulation models enable data-based product optimization by AI. This paper presents a comparison of evolutionary algorithms, reinforcement learning as well as active learning for design space exploration. Based on a real-world case study and hypervolume analysis, the performance of selected algorithms is assessed. The results highlight their ability to identify pareto fronts and provide insights to deepen the understanding of AI-driven design space exploration.
Keywords:
artificial intelligence (AI), systems engineering (SE), data-driven design, simulation-based design
DESIGN2026 - The 19th International Design Conference
Conferences

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.

Cookie Settings Accept Cookies