This review provides an exposition to the important problems of (i) structure prediction in
protein folding and (ii) de novo protein design. The recent advances in protein folding are …

This book is about the Augmented Lagrangian method, a popular technique for solving
constrained optimization problems. It is mainly dedicated to engineers, chemists, physicists …

Many industrial problems can be naturally formulated using mixed integer non-linear
programming (MINLP) models and can be solved by spatial Branch&Bound (sBB) …

Abstract Recent developments in (Global) Optimization are surveyed in this paper. We
collected and commented quite a large number of recent references which, in our opinion …

In this paper, the deterministic global optimization algorithm, αBB (α-based Branch and
Bound) is presented. This algorithm offers mathematical guarantees for convergence to a …

This survey covers the state of the art of techniques for solving general-purpose constrained
global optimization problems and continuous constraint satisfaction problems, with …

Following from part I, which presents a retrospective on optimization, we focus here on areas
that are recent active research topics and are likely to strongly influence the future of …

The estimation of parameters in semiempirical models is essential in numerous areas of
engineering and applied science. In many cases these models are represented by a set of …

The accurate solution of optimal control problems is crucial in many areas of engineering
and applied science. For systems which are described by a nonlinear set of differential …

This paper presents a review of advances that have taken place in the mathematical
programming approach to process design and synthesis. A review is first presented on the …