Multiple-gradient descent algorithm (MGDA) for multiob- jective optimization. C R Math 2012;350(5-6):313-8.DESIDERI, J.-A. Multiple-gradient descent algorithm (MGDA) for multiobjective optimization. Comptes Ren
Pareto MGDAD\acute{e}sid\acute{e}ri J.-A. Multiple-gradient descent algorithm (MGDA) for multiobjective optimization. Comptes Rendus Mathematique, vol. 350, pp. 313–318, 2012.概本文尝试同时解决 nn 个任务: Ji(θ),i=1,2,⋯,nJi(θ),i=1,2,⋯,n, 其中 θ∈RN,n≤Nθ∈RN,n≤...
Lastly, a solution is proposedto adjust the step-size optimally in the descent step.doi:10.1007/978-94-017-9054-3_3JeanAntoine DésidériModeling Simulation & Optimization for Science & TechnologyJ.-A. Desideri. Multiple-Gradient Descent Algorithm (MGDA). Research Report 6953, INRIA, 2009. http...
The present method is based on an extension of the classical stochastic gradient algorithm and a deterministic multiobjective algorithm, the Multiple Gradient Descent Algorithm ( MGDA ). In MGDA a descent direction common to all specified objective functions is identified through a result of convex ...
Parametric Optimization of Pulsating Jets in Unsteady Flow by Multiple-Gradient Descent Algorithm (MGDA)Two numerical methodologies are combined to optimize six design characteristics of a system of pulsating jets acting on a laminar boundary layer governed by the compressible Navier-Stokes equations......