For many years all three of us have been interested in, and have tried to make contributions
to, derivative-free optimization. Our motivation for writing this book resulted from various …

This book on unconstrained and bound constrained optimization can be used as a tutorial
for self-study or a reference by those who solve such problems in their work. It can also …

The trend of using accurate models such as physics-based FET models, coupled with the
demand for yield optimization results in a computationally challenging task. This paper …

The Nelder--Mead algorithm can stagnate and converge to a nonoptimal point, even for very
simple problems. In this note we propose a test for sufficient decrease which, if passed for all …

In this paper we describe and analyze an algorithm for certain box constrained optimization
problems that may have several local minima. A paradigm for these problems is one in …

This book is an introduction to implicit filtering, one of many derivative-free optimization
methods which have been developed over the last twenty years. The audience for this book …

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm
driven by the simulation of a social psychological metaphor instead of the survival of the …

This paper presents an algorithmic extension of Powell's UOBYQA algorithm (Unconstrained
Optimization BY Quadratical Approximation). We start by summarizing the original algorithm …

In this work, we introduce DIRECTGO, a new MATLAB toolbox for derivative-free global
optimization. DIRECTGO collects various deterministic derivative-free DIRECT-type …

Estimation problems arise routinely in subsurface hydrology for applications that range from
water resources management to water quality protection to subsurface restoration. Interest in …