Nonlinear Optimization

A nonmonotone GRASP

A greedy randomized adaptive search procedure (GRASP) is an itera- tive multistart metaheuristic for difficult combinatorial optimization problems. Each GRASP iteration consists of two phases: a construction phase, in which a feasible solution is produced, and a local search phase, in which a local...
Exploiting damped techniques for nonlinear conjugate gradient methods

In this paper we propose the use of damped techniques within Nonlinear Conjugate Gradient (NCG) methods. Damped techniques were introduced by Powell and recently reproposed by Al-Baali and till now, only applied in the framework of quasi--Newton methods. We extend their use to NCG methods in large...
LARGE SCALE UNCONSTRAINED OPTIMIZATION
Prioritized multi-task motion control of redundant robots under hard joint constraints
Preconditioning Newton-Krylov methods in nonconvex large scale optimization
On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds
Large Scale Nonlinear Optimization
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization

Starting from the paper by Nash and Sofer (1990), we propose a heuristic adaptive truncation criterionfor the inner iterations within linesearch-based truncated Newton methods. Our aim is to possibly avoid ‘‘over-solving’’ of the Newton equation, based on a comparison between the predicted...
A CLASS OF PRECONDITIONERS FOR LARGE INDEFINITE LINEAR SYSTEMS, AS BY PRODUCTOF KRYLOV SUBSPACE METHODS: PART 1
Discrete-time velocity control of redundant robots with acceleration/torque optimization properties