Add to ORKGThis report was done during the Semaine d' Études Mathématiques et Entreprises (SEME) at the Institut de recherche mathématique de Rennes (IRMAR). The subject, proposed by the research centers Cenearo and IRT Saint Exupéry, is about the characterization of optimization problems which can only be tested under a black-box procedure. We propose some selection criteria in order to categorize such problems
The goal of this work is the development of a black-box solver based on the scatter search methodolo...
In the world of vehicle structure optimization the goal is to find car components that are, for exam...
International audienceIn this paper, we survey methods that are currently used in black-box optimiza...
This report was done during the Semaine d' Études Mathématiques et Entreprises (SEME) at the Institu...
Black-box optimization algorithms optimize a tness function f without knowl-edge of the specic param...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
Selecting the most appropriate algorithm to use when attempting to solve a black-box continuous opti...
Search and optimization in the context of blackbox objective function evaluation subject to blackbox...
Research on new optimization algorithms is often funded based on the motivation that such algorithms...
Abell T, Malitsky Y, Tierney K. Features for Exploiting Black-Box Optimization Problem Structure. In...
In black-box optimization an algorithm must solve one of many possible functions, though the precise...
There are many optimization problems in physics, chemistry, finance, computer science, engineering a...
Optimization problems arise in science, engineering, economy, etc. and we need to find the best sol...
When optimizing black-box functions, little information is available to assist the user in selecting...
This book is designed as a textbook, suitable for self-learning or for teaching an upper-year univer...
The goal of this work is the development of a black-box solver based on the scatter search methodolo...
In the world of vehicle structure optimization the goal is to find car components that are, for exam...
International audienceIn this paper, we survey methods that are currently used in black-box optimiza...
This report was done during the Semaine d' Études Mathématiques et Entreprises (SEME) at the Institu...
Black-box optimization algorithms optimize a tness function f without knowl-edge of the specic param...
International audienceExisting studies in black-box optimization for machine learning suffer from lo...
Selecting the most appropriate algorithm to use when attempting to solve a black-box continuous opti...
Search and optimization in the context of blackbox objective function evaluation subject to blackbox...
Research on new optimization algorithms is often funded based on the motivation that such algorithms...
Abell T, Malitsky Y, Tierney K. Features for Exploiting Black-Box Optimization Problem Structure. In...
In black-box optimization an algorithm must solve one of many possible functions, though the precise...
There are many optimization problems in physics, chemistry, finance, computer science, engineering a...
Optimization problems arise in science, engineering, economy, etc. and we need to find the best sol...
When optimizing black-box functions, little information is available to assist the user in selecting...
This book is designed as a textbook, suitable for self-learning or for teaching an upper-year univer...
The goal of this work is the development of a black-box solver based on the scatter search methodolo...
In the world of vehicle structure optimization the goal is to find car components that are, for exam...
International audienceIn this paper, we survey methods that are currently used in black-box optimiza...