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

In many optimization problems arising from scientific, engineering and artificial intelligence
applications, objective and constraint functions are available only as the output of a black …

In this introductory chapter, we present a high-level description of optimization, blackbox
optimization, and derivative-free optimization. We introduce some basic optimization …

A thermoelectric generator used to recover energy from the exhaust gases of a heavy-duty
freight vehicle is numerically simulated and optimized using two different algorithms: a …

A methodology of multiobjective design optimization of ceramic–metal composite plates with
functionally graded materials, with properties varying through the thickness direction …

The optimization of multimodal functions is a challenging task, in particular when derivatives
are not available for use. Recently, in a directional direct search framework, a clever …

Derivative-free optimization (DFO) methods [502] are typically considered for the
minimization/maximization of functions for which the corresponding derivatives neither are …

Constitutive modeling of the meniscus is critical in areas like knee surgery and tissue
engineering. At low strain rates, the meniscus can be described using a hyperelastic model …

This work addresses the design optimization of ceramic–metal composite plates with
functionally graded material properties, varying through the thickness direction, subjected to …

We propose and analyze an asynchronously parallel optimization algorithm for finding
multiple, high-quality minima of nonlinear optimization problems. Our multistart algorithm …