This paper proposes a new optimization tool based on the cross-entropy (CE) method to
assess security-constrained optimal power flow (SCOPF) solutions. First, the corresponding …

In this paper, we describe the Globalizer software system for solving the global optimization
problems. The system is designed to maximize the use of computational potential of the …

This work originates from research carried out in support to the cargo accommodation of
space vehicles/modules. The goal of this activity is to maximize the loaded cargo, taking into …

This book originates from a long-lasting research effort aimed at tackling difficult non-
standard packing issues arising in space engineering and logistics. In this framework the …

We review and present several challenging model classes arising in the context of finding
optimized object packings (OP). Except for the smallest and/or simplest general OP model …

We present model development and numerical solution approaches to the problem of
packing a general set of ellipses without overlaps into an optimized polygon. Specifically, for …

Artificial neural networks (ANNs) are used extensively to model unknown or unspecified
functional relationships between the input and output of a “black box” system. In order to …

Purpose To determine economically efficient referral criteria for a preschool vision-screening
program using autorefraction. Design Retrospective economic evaluation of a screening …

Nonlinear optimization (NLO) encompasses a vast range of problems, from very simple to
theoretically intractable instances. For this reason, it is impossible to offer guaranteed …

Our strategic objective is to develop a broadly categorized, expandable collection of test
problems, to support the benchmarking of nonlinear optimization software packages in …