Optimization Capabilities of Automated Design and Configuration of Complex Systems
Stefano Demarchi, Marco Menapace, Armando Tacchella
Journal of Information Technology Review, Vol. 10, No. 4, 2019.
DOI: https://doi.org/10.6025/jitr/2019/10/4/119-125
Link: http://www.dline.info/jitr/fulltext/v10n4/jitrv10n4_2.pdf
Abstract:
Automated design and configuration of complex systems is well established as a research topic, specifically for
constraint programming. In order to encode â€œquality of designâ€ rules, i.e., preferences about the final outcomes, the encoding
must be completed with optimization capabilities. Based on experience in the configuration of elevator systems we present a
research agenda to develop methods and tools which should be able to leverage constraint solvers in order to compute
designs for complex systems that can compete with the ones produced by humans. Besides elevator systems, we propose to evaluate the methodology and the tools on other case studies, e.g., hardware configuration or heating ventilation and air
conditioning systems.