Integration of Algorithm-Based Optimization into the Design Process of Industrial Buildings: A Case Study

Springer eBooks, pp. 179–188

Abstract

Abstract Algorithm-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.

Authors 3

1. Mirjam Konrad corresponding Aachen Chair of Structures and Structural Design (Trako)

   RWTH Aachen University

   Affiliation as printed

   Chair of Structures and Structural Design, RWTH Aachen University, Aachen, Germany

2. Dana Saez corresponding Aachen Chair of Structures and Structural Design (Trako)

   RWTH Aachen University

   Affiliation as printed

   Chair of Structures and Structural Design, RWTH Aachen University, Aachen, Germany

3. Martin Trautz Aachen Chair of Structures and Structural Design (Trako)

   RWTH Aachen University

   Affiliation as printed

   Chair of Structures and Structural Design, RWTH Aachen University, Aachen, Germany