Enabling Knowledge Discovery From Simulation-Based Multi-Objective Optimization
A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms
Identification of Tasks to Be Supported by Machine Learning
A Knowledge Extraction Platform for Reproducible Decision-Support
Interactive Knowledge Discovery and Knowledge Visualization for Decision Support
Desirable properties of performance indicators
Artificial Intelligence-enhanced Sales & Operations Planning in an Engineer-to-order context
Towards Sonification in Multimodal and User-friendly Explainable Artificial Intelligence
Monte Carlo Tree Search for online decision making in smart industrial production
Online Knowledge Extraction and Preference Guided Multi-Objective Optimization in Manufacturing
Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space
Finding Influential Variables in Multi-Objective optimization Problems
Virtual Factories with Knowledge-DrivenOptimization as a New Research Profile
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space
A parameterless performance metric for reference-point based multi-objective evolutionary
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective
Metamodel-based multi-objective optimization of a turning process
Improved Human-Robot Collaboration Through Simulation-Based Optimization
A framework for simulation-based multi-objective optimization and knowledge discovery of machining
Product lifecycle management with provenance management and virtual models