Scope & Description
Regardless of the context, it is essential to tackle critical challenges due to various factors such as climate change, an aging population, and new industrial demands. These challenges include minimizing energy consumption and emissions, enhancing human quality of life, and meeting industrial improvement needs. Those involved in industry and academia cannot overlook these realities, as they will shape the future.
In this context, the industry, along with areas such as building management and assistive technologies, plays a crucial role in developing various emerging techniques to achieve the previously mentioned goals. While traditional methods have met current demands, there is a clear need for new advanced improvements in the future.
This session offers an exciting opportunity to present and discuss the latest theoretical advancements and practical applications in Optimization, Modeling, and Anomaly Detection using computational intelligence methodologies.
Topics of Interest
Track Program Committee
- José Luis Calvo Rolle (UDC)
- Francisco Zayas Gato (UDC)
- Héctor Quintián Pardo (UDC)
- Álvaro Michelena Grandío (UDC)
- Paula Patricia Bea Arcano (UDC)
- Noel Freire Mahía (UDC)
- Anabel Díaz Labrador (UDC)
- Pedro Pablo Gómez González (UDC)
- Alejandro Vidal Bralo (UDC)
- Míriam Timiraos Díaz (UDC)
- Antonio Javier Díaz Longueira (UDC)
Track Organizers