An interactive decision-support system for multi-objective optimization of nonlinear dynamic processes with uncertainty

Abstract

Please cite this article as: Vallerio, M., Hufkens, J., Impe, J.V., Logist, F., An interactive decision-support system for multi-objective optimization of nonlinear dynamic processes with uncertainty, Expert Systems with Applications (2015), doi: http://dx. AbstractThe manufacturing industry is faced with the challenge to constantly improve its processes, e.g., due to lower profit margins, more strict environmental policies and increased societal awareness. These three aspects are considered as the pillars of sustainable development and typically give rise to multiple and conflicting objectives. Hence, any decision made will require trade-offs to be evaluated and compromises to be made. To support decision making an interactive multi-objective framework is presented to optimize dynamic processes based on mathematical models. The framework includes a numerically efficient strategy to account for parametric uncertainty in the models and it allows to directly minimize the operational risks arising from this uncertainty. Hence, for the first time expert knowledge on the trade-offs between traditional objective functions and operational risks is readily and interactively available for the practitioners in the field of dynamic systems. The introduced interactive framework for multi-objective dynamic optimization under uncertainty is successfully tested for a three and five-objective fed-batch reactor case study with uncertain feed temperature and heat transfer parameters.

A systems engineering approach to model, tune and test synthetic gene circuits

“…That is, the decision making process is carried out at the end of the MOOD process using additional information, in order to select a robust configuration. This is congruent with similar analysis of uncertainties and decision making (Vallerio et al, 2015).…”

Interactive Multi‐objective Dynamic Optimization of Bioreactors under Parametric Uncertainty

“…For the implementation of the interactive robust multi‐objective optimization problems presented in this work, the ParetoBrowser presented in is used. This interactive multi‐objective optimization toolkit is available as a part of Pomodoro , an open‐source software toolkit which has been developed at KU Leuven/BioTeC+ and which can be downloaded for academic use on .…”

“…In this article, interactive robust multi‐objective optimization of bioprocesses is studied using the ParetoBrowser , which is part of the in‐house developed software toolkit Pomodoro (process optimization multi‐objective optimization, dynamic optimiation, robust optimization) . As a case study, the multi‐objective optimization of a fed‐batch bioreactor is studied for the production of lysine, an essential amino acid, which is often used as a supplement in the feed for livestock and as amino acid supplement for humans.…”

The impact of interactive visualization on trade-off-based geospatial decision-making

“…In Carenini and Loyd (2004) the authors introduced, and in Bautista and Carenini (2006) further developed ValueCharts, a set of interactive visualization methods aimed to facilitate the decision-maker in inspecting linear models of preferences and evaluation. Vallerio et al (2015) presented the Pareto Browser, an interactive decision support system for the multi-objective optimization of non-linear dynamic processes with uncertainty. In the context of geospatial multi-criteria decision-making, one of the first systems that addressed the need for interactive visualization that applies to the choice phase of the decision-making process was CommonGIS (Andrienko and Andrienko 2003, Andrienko et al 2003b.…”