In recent decades, wildfires, as widespread and extremely destructive na...
Due to the costly nature of remote sensing image labeling and the large
...
Dynamic multi-objective optimization problems (DMOPs) are widely accepte...
Multi-objective optimization problems with constraints (CMOPs) are gener...
Machine learning techniques have been developed to learn from complete d...
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines
...
Investigation of detailed and complex optimisation problem formulations ...