- Fabio Di Trapani, Politecnico di Torino, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica (DISEG), fabio.ditrapani@polito.it
- Josephine Voigt Carstensen, Massachusetts Institute of Technology (MIT), jvcar@mit.it
- Cristoforo Demartino, Zhejiang University/University of Illinois Institute, cristoforodemartino@intl.zju.
edu.cn - Giuseppe Carlo Marano, Politecnico di Torino, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica (DISEG), giuseppe.marano@polito.it
Abstract
The mini-symposium encourages the submission of research contributions related to the latest computational intelligence-based approaches for structural engineering and recent findings in the field of structural optimization. Computational intelligence techniques, which are a subset of artificial intelligence applications, are being increasingly used to solve large or complex structural engineering problems. Notably, Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution have proven effective in improving the optimal design of new structures and retrofitting interventions in existing buildings. In addition, Machine Learning techniques, particularly Genetic Programming and Neural Networks, are used to predict outcomes based on data-driven analysis. Contributions focused on topology and sizing structural optimization using traditional approaches are also welcomed.
Topics of interest for this Special Session include, but are not limited to:
- The application of Computational Intelligence algorithms to optimize the design of new structures and retrofitting interventions in existing buildings
- The use of Machine Learning techniques in structural engineering
- Topology and sizing structural optimization
- Generative design and form finding
