Abonare navigation icon
RO
navigation icon menu icon Abonare
navigation icon Acasă navigation icon Catalog
icon language Limbi navigation icon Menu
icon close
icon arrow

Caută

icon searchbar

Caută

Catalog

icon close
icon close
icon close
icon language

Limbi

icon close

Rezultatele căutării

"One"

icon

Filtrează după

0
icon sort

Sortează
Traineeship proposal ANALYSIS AND COMPARISON OF PARAMETER TUNING FOR LOCAL SEARCH ALGORITHMSLocation either University of Nantes LINA or University of Angers LERIA FranceSalary up to for the whole periodStarting date May Duration at least monthsContact Charlotte Truchet charlotte nantes fr and Frédéric Saubion Frederic angers frContextDuring the last decades impressive improvements have been achieved to solve complexoptimization problems issued from real world applications which involve more and more dataand constraints In order to tackle large scale instances and intricate problem structures sophisticated solving techniques have been developed and combined to provide efficientsolvers Among the different solving paradigms local search has been widely used as an incompleteoptimization technique for solving such problems It is now integrated in solvers and combinedwith other techniques Local search mainly relies on the basic concept of neighbourhood Starting from an initialconfiguration a local search algorithm tries to reach the optimum by moving locally from aconfiguration to one of its neighbours according to its evaluation The performance of such analgorithm is strongly related to its ability to explore and exploit the search landscape Forinstance when faced to a very rugged landscape one should be able to escape from manylocal optima while in presence of large plateaus one should be able to widely explore thespace In order to manage the balance between exploitation and exploration various efficientheuristics have been proposed usually relying on stochastic perturbations and restarts Unfortunately these heuristics are most of the time controlled by parameters whose settinghas a great impact on the efficiency of the algorithm Well known parameters are for instancethe temperature cooling schedule in simulated annealing or the amount of random walk Parameter tuning is nowadays a crucial issue and various tuning methods have beendeveloped including a dynamic management of parameters during the solving process ... icon
Category

Documente

Rapoarte de stagiu

Traineeship proposal ANALYSIS AND COMPARISON OF PARAMETER TUNING FOR LOCAL SEARCH ALGORITHMSLocation either University of Nantes LINA or University of Angers LERIA FranceSalary up to for the whole periodStarting date May Duration at least monthsContact Charlotte Truchet charlotte nantes fr and Frédéric Saubion Frederic angers frContextDuring the last decades impressive improvements have been achieved to solve complexoptimization problems issued from real world applications which involve more and more dataand constraints In order to tackle large scale instances and intricate problem structures sophisticated solving techniques have been developed and combined to provide efficientsolvers Among the different solving paradigms local search has been widely used as an incompleteoptimization technique for solving such problems It is now integrated in solvers and combinedwith other techniques Local search mainly relies on the basic concept of neighbourhood Starting from an initialconfiguration a local search algorithm tries to reach the optimum by moving locally from aconfiguration to one of its neighbours according to its evaluation The performance of such analgorithm is strongly related to its ability to explore and exploit the search landscape Forinstance when faced to a very rugged landscape one should be able to escape from manylocal optima while in presence of large plateaus one should be able to widely explore thespace In order to manage the balance between exploitation and exploration various efficientheuristics have been proposed usually relying on stochastic perturbations and restarts Unfortunately these heuristics are most of the time controlled by parameters whose settinghas a great impact on the efficiency of the algorithm Well known parameters are for instancethe temperature cooling schedule in simulated annealing or the amount of random walk Parameter tuning is nowadays a crucial issue and various tuning methods have beendeveloped including a dynamic management of parameters during the solving process ...

Charlotte Truchet
Les demandes croissantes en énergie propre ouvrent un nouveau champ de recherche dans le domaine des éoliennes Nous nous intéressons ici des éoliennes de grande envergure dont les générateurs atteignent les MW de puissance Pour atteindre de telles puissances les installations deviennent de plus en plus grandes le diamètre des pales augmente ainsi que la hauteur des tour A partir d une certaine hauteur les tours en acier deviennent onéreuses et rencontrent des problèmes de résistance de matériau c est pourquoi nous nous intéressons au dimensionnement de ces tours en béton Nous réalisons ici le dimensionnement d une de ces tours en béton précontraint icon
Category

Materiale școlare

Collège - Lycée

Les demandes croissantes en énergie propre ouvrent un nouveau champ de recherche dans le domaine des éoliennes Nous nous intéressons ici des éoliennes de grande envergure dont les générateurs atteignent les MW de puissance Pour atteindre de telles puissances les installations deviennent de plus en plus grandes le diamètre des pales augmente ainsi que la hauteur des tour A partir d'une certaine hauteur les tours en acier deviennent onéreuses et rencontrent des problèmes de résistance de matériau c'est pourquoi nous nous intéressons au dimensionnement de ces tours en béton Nous réalisons ici le dimensionnement d'une de ces tours en béton précontraint

Seb