Adding Implicit Measurement Methods to Interactive Optimizations in Industrial design - A Concept, First Tests, and Comparison Using Two Simple Case Studies

DS 94: Proceedings of the Design Society: 22nd International Conference on Engineering Design (ICED19)

Year: 2019
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Wiesner, Martin; Petrow, Andreas; Vajna, S
Series: ICED
Institution: Otto-von-Guericke-University Magdeburg
Section: Knowledge-based engineering
DOI number: https://doi.org/10.1017/dsi.2019.251
ISSN: 2220-4342

Abstract

In this article, a new approach to interactive optimization in industrial design is presented in which, for the first time, implicit preference acquisition methods are integrated. Suitable methods for preference acquisition will be selected, adapted and combined with an own PSO-inspired algorithm. The application of implicit preferences as well as the combined application of implicit and explicit preferences in an interactive optimization represents the main novelty of this contribution since this has not yet been carried out according to the current state of knowledge.Two case studies will be used to test this new approach with regard to convergence and acceptance, and a comparison will be made between the three different kind of optimization (implicit, explicit as well as a combination of both) in terms of their results.

Keywords: Interactive Optimization, Implicit Measures, Industrial design, Optimisation, Crowdsourcing

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