
Application of Metamodel-Assisted Multiple-Gradient Descent Algorithm (MGDA) to Air-Cooling Duct Shape Optimization
Author(s) -
Adrien Zerbinati,
JeanAntoine Désidéri,
Régis Duvigneau
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - metamodeling , latin hypercube sampling , kriging , surrogate model , mathematical optimization , computer science , pareto principle , algorithm , hypercube , computation , gradient descent , descent direction , set (abstract data type) , mathematics , monte carlo method , parallel computing , artificial intelligence , machine learning , statistics , artificial neural network , programming language