“Ontology-Based Optimization for Systems Engineering”

Abstract: Model-Based Systems Engineering techniques used with decriptive metamodel such as NAF, SysML or UML often fails to provide quick analyses of huge problem spaces. This is generally compensated by Operations Research technique supporting the resolution of constraint-based problems. This paper shows how both perspectives can be combined in a smooth continuous bridge filling the gap between the two universes whilst hiding the operations researchs complexity for the modelers and automating the exploration of a very huge problem space for the finding of optimized solutions.