Special Track on Intelligent Techniques for Optimization, Modeling, and Anomaly Detection

ITOMAD

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

Energy efficiency and optimization.
Control Techniques efficiency and optimization.
Modernization of legacy systems.
Industrial control new techniques.
Modeling of complex systems.
Process optimization new techniques.
Fault Detection and Diagnosis.
Techniques to improve robustness against system failure.
Computational intelligence developments aimed at human beings.

Track Program Committee

Track Organizers

Esteban Jove Pérez
Esteban Jove Pérez CTC Research Grou University of Coruña, Spain esteban.jove@udc.es
Manuel Rubiños Trelles
Manuel Rubiños Trelles CTC Research Group University of Coruña, Spain manuel.rubinos@udc.es
Pedro José Costa de Oliveira
Pedro José Costa de Oliveira Department of Informatics / ALGORITMI Centre University of Minho, Portugal pedro.jose.oliveira@algoritmi.uminho.pt
Joao Delfim da Cruz Pereira
Joao Delfim da Cruz Pereira Department of Informatics / ALGORITMI Centre University of Minho, Portugal b14031@algoritimi.uminho.pt