AbstractAlgorithm-based optimization is widely applied in many fields like industrial production, resulting in state-of-the-art workflows in the production process optimization. This project takes the cultural lag of conventional industrial architecture design as a motivation to investigate the implementation of algorithm-based optimization into traditional design processes. We argue that an enhanced way of architectural decision-making is possible. Current approaches use a translation of the whole design problem into a single, overly complicated optimization system. Contrary to that, this paper presents a novel workflow that defines precise design steps and applies optimizations only if suitable. Furthermore, this method can generate relevant results for factory planning design problems with contradicting factors, making it a promising approach for the complex challenges of i.e. resource-efficient building.
Verification of Decision Making Software in an Autonomous Vehicle: An Industrial Case Study
