Metaheuristic algorithms are computational techniques based on the collective behavior of
swarms and the study of organisms acting in communities. These algorithms involve …

We study a three-stage supply chain network (SCN) design problem for a single-product
system. The SCN is composed of suppliers that provide raw materials for the plants, plants …

We present a low-dimensional Galerkin model with state-dependent modes capturing linear
and nonlinear dynamics. Departure point is a direct numerical simulation of the three …

This thesis addresses two distinct problems: Professional Timetabling and Recommender
Systems. Both issues take place at Mandarine Academy, a french educational technology …

Flow-induced deflections of aircraft structures result in oscillations that might turn into such a
dangerous phenomena like flutter or buffeting. In this paper the design of an aeroelastic …

This paper discusses a physics-informed methodology aimed at reconstructing efficiently the
fluid state of a system. Herein, the generation of an accurate reduced order model of two …

The paper aims to build a reduced order model (ROM) of the left and right ventricle of a
human heart. The input heart model is build from 3D sets of registered, flexible surface …

Sažetak U ovom završnom radu istražena je učinkovitost algoritma NSGA II za višekriterijski
problem trgovačkog putnika. Problemsko rješenje koje sam implementirao imalo je dva …

Abstract REDUCED ORDER MODELS allow quickly predict fluid behaviour and to better
under-stand flow phenomena. They are the key enablers of closed-loop flow control. In this …

Abstract Principal Component Analysis, a statistical tool allowing to create a low
dimensional subspace basing on input data, finds many applications in biomechanics. The …