Meta-model-assisted MGDA for multi-objective functional optimization
type: Item
instance of: scholarly article
title: Meta-model-assisted MGDA for multi-objective functional optimization
zbMATH Open document ID: 1390.74164
author: Adrien Zerbinati
author: Andrea Minelli
author: Imane Ghazlane
author: Jean-Antoine Désidéri
published in: Computers and Fluids
publication date: 2018-06-19T00:00:00Z
Mathematics Subject Classification ID: 74P15
Mathematics Subject Classification ID: 74F10
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 76G25
zbMATH DE Number: 6891311
zbMATH Keywords: differentiable optimization
zbMATH Keywords: numerical methods
zbMATH Keywords: multi-objective optimum-shape design
zbMATH Keywords: Pareto optimality
zbMATH Keywords: compressible aerodynamics
zbMATH Keywords: drag reduction
zbMATH Keywords: sonic boom
describes a project that uses: SPEA2
describes a project that uses: FUN3D
MaRDI profile type: Publication
full work available at URL: j.compfluid.2014.06.018
OpenAlex ID: W1970522654
cites work: Q4739659
cites work: Q4692508
cites work: Q5701623
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Q5569991
cites work: Comparison Between Two Multi-Objective Optimization Algorithms: PAES and MGDA. Testing MGDA on Kriging Metamodels
cites work: Multiple-gradient descent algorithm (MGDA) for multiobjective optimization
cites work: Drag/thrust analysis of jet-propelled transonic transport aircraft; Definition of physical drag components
cites work: Nonlinear multiobjective optimization
DOI: 10.1016/J.COMPFLUID.2014.06.018
description: scientific article; zbMATH DE number 6891311