Many real world optimization problems are formulated as mixed-variable optimization
problems (MVOPs) which involve both continuous and discrete variables. MVOPs including …

In recent decades, medical tourism especially cosmetic tourism has increased in many
countries. In this study, a bi-objective mathematical model is designed for the cosmetic …

Wave Energy Converters (WECs) are deployed in arrays to improve the overall quality of the
delivered power to the grid and reduce the cost of power production by minimizing the cost …

Reservoir water sensitivity damage significantly contributes to production declines in low-
permeability oil and gas fields. An accurate and rapid assessment of water sensitivity is …

Résumé D e nos jours, un intérêt significatif et croissant pour améliorer les processus de
conception de véhicules s' observe dans le domaine de l'optimisation multidisciplinaire …

Optimal layout problems consist in positioning a given number of components in order to
minimize an objective function while satisfying geometrical or functional constraints. Such …

In current researches on belief rule base (BRB), input parameters are tended to be
expressed in the form of quantitative values through expert knowledge combined with …

Choosing the right system architecture for the problem at hand is challenging due to the
large design space and high uncertainty in the early stage of the design process …

System architecture optimization can support the design of novel architectures by
formulating the architecting process as an optimization problem. The exploration of novel …

Description: Ph. D on Gaussian Process kernels for Bayesian optimization in high dimension
with mixed and hierarchical variables at ISAE-SUPAERO. Keywords: Gaussian process …