A novel dynamic multi-criteria ensemble selection mechanism applied to drinking water quality anomaly detection.

The provision of clean and safe drinking water is a crucial task for water supply companies from all over the world. To this end, automatic anomaly detection plays a critical role in drinking water quality monitoring. Recent anomaly detection studies use techniques that focus on a single global objective.

Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case.

Background: Model based design plays a fundamental role in synthetic biology. Exploiting modularity, i.e.