[HTML][HTML] Two decades of blackbox optimization applications
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) …
over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) …
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
[图书][B] Introduction: tools and challenges in derivative-free and blackbox optimization
In this introductory chapter, we present a high-level description of optimization, blackbox
optimization, and derivative-free optimization. We introduce some basic optimization …
optimization, and derivative-free optimization. We introduce some basic optimization …
[HTML][HTML] Bayesian optimization for materials design with mixed quantitative and qualitative variables
Abstract Although Bayesian Optimization (BO) has been employed for accelerating materials
design in computational materials engineering, existing works are restricted to problems …
design in computational materials engineering, existing works are restricted to problems …
Algorithm 909: NOMAD: Nonlinear optimization with the MADS algorithm
S Le Digabel - ACM Transactions on Mathematical Software (TOMS), 2011 - dl.acm.org
NOMAD is software that implements the Mesh Adaptive Direct Search (MADS) algorithm for
blackbox optimization under general nonlinear constraints. Blackbox optimization is about …
blackbox optimization under general nonlinear constraints. Blackbox optimization is about …
Optimization by direct search: New perspectives on some classical and modern methods
Direct search methods are best known as unconstrained optimization techniques that do not
explicitly use derivatives. Direct search methods were formally proposed and widely applied …
explicitly use derivatives. Direct search methods were formally proposed and widely applied …
Analysis of generalized pattern searches
C Audet, JE Dennis Jr - SIAM Journal on optimization, 2002 - SIAM
This paper contains a new convergence analysis for the Lewis and Torczon generalized
pattern search (GPS) class of methods for unconstrained and linearly constrained …
pattern search (GPS) class of methods for unconstrained and linearly constrained …
Ant colony optimization for mixed-variable optimization problems
T Liao, K Socha, MAM de Oca… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …
extends the ACO R algorithm for continuous optimization to tackle mixed-variable …
System modelling and online optimal management of microgrid using mesh adaptive direct search
FA Mohamed, HN Koivo - International Journal of Electrical Power & Energy …, 2010 - Elsevier
This paper presents a generalized formulation to determine the optimal operating strategy
and cost optimization scheme for a MicroGrid. Prior to the optimization of the MicroGrid itself …
and cost optimization scheme for a MicroGrid. Prior to the optimization of the MicroGrid itself …
Extended ant colony optimization for non-convex mixed integer nonlinear programming
Two novel extensions for the well known ant colony optimization (ACO) framework are
introduced here, which allow the solution of mixed integer nonlinear programs (MINLPs) …
introduced here, which allow the solution of mixed integer nonlinear programs (MINLPs) …