51 citations · 151 across the 24 of their papers we have counts for
5 papers · 1 filter
Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty
El-Ghazali Talbi, Raca Todosijevic
This paper presents a new robustness concept for uncertain multi-objective optimization problems. More precisely, in the paper the so-called recovery-to-efficiency robustness conce…
Bayesian optimization of variable-size design space problems
Julien Pelamatti, Loic Brevault, Mathieu Balesdent +2
Within the framework of complex system design, it is often necessary to solve mixed variable optimization problems, in which the objective and constraint functions can depend simul…
Efficient Global Optimization using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Efficient Global Optimization (EGO) is widely used for the optimization of computationally expensive black-box functions. It uses a surrogate modeling technique based on Gaussian P…
Efficient global optimization of constrained mixed variable problems
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent +2
Due to the increasing demand for high performance and cost reduction within the framework of complex system design, numerical optimization of computationally costly problems is an…
Dual heuristics and new dual bounds to schedule the maintenances of nuclear power plants
Nicolas Dupin, El-Ghazali Talbi
The EURO/ROADEF 2010 Challenge aimed to schedule the maintenance and refueling operations of French nuclear power plants, ranking the approaches in competition for the quality of p…