Abstract
The integrated scheduling optimization inside the oil-refinery industry is a challenging problem to be solved as it involves decisions concerning logistics and storage of crude-oil feedstocks and product fuels as well as the processing in the refinery network. Approaches to promote the integration of these multi-entity, multi-activity and multi-resource decision-making problems requires g…