JSTOR Daily

CONIC TRUST REGION METHOD FOR LINEARLY CONSTRAINED OPTIMIZATION

In this paper we present a trust region method of conic model for linearly constrained optimization problems. We discuss trust region approaches with conic model subproblems. Some equivalent variation ...
JSTOR Daily

On the Convergence of Constrained Optimization Methods with Accurate Hessian Information on a Subspace

This is a preview. Log in through your library . Abstract This paper analyzes methods of the type proposed by Coleman and Conn for nonlinearly constrained optimization. It is shown that if the reduced ...
IEEE

An Accelerated Distributed Proportional-Integral Method for Distributed Constrained Optimization

Abstract: This letter addresses the distributed constrained optimization problem over multi-agent networks, where a group of agents collaboratively minimizes the average of their locally held ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
University of Waterloo

The perturbation method applied to a robust optimization problem with constraint

The perturbation method applied to a robust optimization problem with constraint Citation: Luo, Peng , Alexander Schied, and Xiaole Xue. “The perturbation method applied to a robust optimization ...
GitHub

Resistive-memory-based-constraint-optimization-solver

The core of impedance regulation, model-predictive control, and manipulation planning lies in ensuring that the target policy satisfies constraints imposed by both robot hardware and the physical ...