Prioritized multi-objective optimization of a sandwich panel

There exists many works dealing with the problem of optimal ship weather routing, in which motor or sailing vessels are considered.. The approaches in

The model is then cou- pled to the Non-dominated Sorting Genetic Algorithm (NSGA-II) in order to perform global optimization with respect to several objectives (e.g. noise

The optimization of the criterion is also a difficult problem because the EI criterion is known to be highly multi-modal and hard to optimize. Our proposal is to conduct

Such a process is based on the design of experi- ments with associated modeling methods, in order to reduce the number of tests used to build engine response models depending on

strategies are iterative and based on two steps: a NSGA-II algorithm performed on kriging response surfaces or kriging expected improvements and relevant enrichment methods composed

To solve the robust optimization problem, one way is to introduce a multi-objective optimization formulation where the first objective is the function itself and the second is

This technique known as scalar approach is transforming a MOP into a single-objective problem, by combining different objective functions (i.e. the traffic demand satisfaction

We address the problem of derivative-free multi-objective optimization of real-valued functions subject to multiple inequality constraints.. The search domain X is assumed to