To improve the algorithm, we propose pre-selecting better initial candidates obtained from a gradient-based-like (GBL) optimization method. The main drawback of the GBL optimization method is its strong dependence on initial conditions. However, like any gradient-based method, ...
For the optimization of insulin and reporter incubation times, the reporter anti- body was diluted at 1:1000. The optimized incubation times were used for later experiments. For the optimiza- tion of anti-insulin in the hydrogel and detectivity assay, the reporter antibody was diluted 1:500. ...
The optimization procedure is performed subject to limitations on actuator torques and workspace, while passing through imposed poses. The Augmented Lagrangian with decoupling (ALD) technique is used to solve the resulting constrained non- convex and non-linear optimal control problem. Furthermore, the...
This formulation-Augmented-SVM (A-SVM)-aims at combining gradient observations with the standard observations of function values (integer labels in classification problems and real values in regression) within a single SVM-like optimization framework. The presented formulation adds onto the existing SVM...
Newton-conjugate gradient (CG) augmented Lagrangian method for path constrained dynamic process optimization[J]. Qiang ZHANG, Shurong LI, Yang LEI, Xiaodong ZHANG College of Information and Control Engineering, China University of Petroleum (East China), Qingdao Shandong 266555, China.Journal of ...
The optimization variables are restricted by a convex set with computable projection operation on its tangent cone as well as equality constraints. As a supplement of the analysis in Niederlnder and Cort茅s (2016), we show that the projected dynamical system converges to one of the saddle ...
Then, gradient flow models are developed for the on-line computation of feedback gain matrices that result in robust pole assignment by solving these two optimization problems. A technique is introduced to facilitate the real-time matrix inverse involved for realizing the gradient flow models. The ...
Silveti-Falls, AntonioMolinari, CesareFadili, JalalNormandie Univ ENSICAEN UNICAEN CNRS GREYC F-14000 Caen FranceSIAM Journal on Optimization: A Publication of the Society for Industrial and Applied Mathematics
(ALCG)",is developed in this paper.Based on the nonlinear constrained optimizationtheory and is compatible with the explicit time integration scheme,this approach can also be used inimplicit scheme naturally.The new surface contact constraint method presented has significant advan-tages over the ...
At each iteration of the optimization procedure, the objective function is approximated by a quadratic model based on the adjoint gradient and the approximate Hessian matrix obtained using a quasi-Newton method. The quadratic model is then maximized subject to the bound constraints using a gradient-...