This paper addresses the solution of bound-constrained optimization problems using
algorithms that require only the availability of objective function values but no derivative …

A major challenge to the successful full-scale development of modern aerospace systems is
to address competing objectives such as improved performance, reduced costs, and …

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 manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …

This paper presents a comprehensive assessment of the power that is available for
harvesting in the vehicle suspension system and the tradeoff among energy harvesting, ride …

Objective functions that appear in engineering practice may come from measurements of
physical systems and, more often, from computer simulations. In many cases, optimization of …

This article presents the DYCORS (DYnamic COordinate search using Response Surface
models) framework for surrogate-based optimization of HEB (High-dimensional, Expensive …

This article provides a critical review of computational techniques for flow-noise prediction
and the underlying theories. Hybrid approaches, in which the turbulent noise source field is …

Shoreline location and incident wave energy, observed for almost 5 years at Torrey Pines
beach, show seasonal fluctuations characteristic of southern California beaches. The …

This paper formulates and analyzes a pattern search method for general constrained
optimization based on filter methods for step acceptance. Roughly, a filter method accepts a …