This article reviews blackbox optimization applications of direct search optimization methods
over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) …

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

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

In this paper, we introduce ACO MV: an ant colony optimization (ACO) algorithm that
extends the ACO R algorithm for continuous optimization to tackle mixed-variable …

In real-world applications, a specific class of multiobjective optimization problems, such as
the cloud service allocation problem (CSAOPs), possess the characteristic of variable-length …

This paper reviews the literature on algorithms for solving bound-constrained mixed-integer
derivative-free optimization problems and presents a systematic comparison of available …

The mesh adaptive direct search (Mads) algorithm is designed for blackbox optimization
problems for which the functions defining the objective and the constraints are typically the …

Within the framework of complex system design, it is often necessary to solve mixed variable
optimization problems, in which the objective and constraint functions can depend …

Exploratory landscape analysis and fitness landscape analysis in general have given
valuable insight into problem hardness understanding as well as facilitating algorithm …

A mathematical framework for modelling constrained mixed-variable optimization problems
is presented in a blackbox optimization context. The framework introduces a new notation …