• tgp

• Referenced in 38 articles [sw07921]
• latter supports derivative-free optimization of noisy black-box functions...

• PESC

• Referenced in 8 articles [sw17860]
• information-theoretic framework for solving global black-box optimization problems that also have black ... towards a unified solution for constrained Bayesian optimization...

• SLEP

• Referenced in 38 articles [sw13487]
• optimal for smooth convex optimization via the first-order black-box methods. 3) Efficient Projection...

• OPAL

• Referenced in 7 articles [sw13119]
• optimization problem to be solved. A black-box optimization solver takes care of the rest...

• RBFOpt

• Referenced in 5 articles [sw28416]
• RBFOpt: an open-source library for black-box optimization with costly function evaluations. We consider ... optimizing an unknown function given as an oracle over a mixed-integer box-constrained ... literature, this is typically called a black-box optimization problem with costly evaluation. This paper...

• MISO

• Referenced in 6 articles [sw20541]
• MISO aims at solving computationally expensive black-box optimization problems with mixed-integer variables. This ... function value. Examples include optimal reliability design and structural optimization. A single objective function evaluation ... during the optimization. The development of algorithms for this type of optimization problems has, however ... literature. Because the objective function is black-box, derivatives are not available and numerically approximating...

• mlrMBO

• Referenced in 5 articles [sw19214]
• Modular Framework for Model-Based Optimization of Expensive Black-Box Functions. We present mlrMBO ... comprehensive R toolbox for model-based optimization (MBO), also known as Bayesian optimization ... which addresses the problem of expensive black-box optimization by approximating the given objective function...

• NESUN

• Referenced in 35 articles [sw28733]
• convex optimization problems. In this paper, we present new methods for black-box convex minimization ... rate of convergence, typical for the smooth optimization problems, sometimes can be achieved even...

• MSO

• Referenced in 5 articles [sw35041]
• framework for bound-constrained black-box global optimization algorithms. This paper addresses a class ... algorithms for solving bound-constrained black-box global optimization problems. These algorithms partition the objective...

• MATSuMoTo

• Referenced in 3 articles [sw20551]
• model toolbox for computationally expensive black-box global optimization problems. MATSuMoTo is the MATLAB Surrogate ... Model Toolbox for computationally expensive, black-box, global optimization problems that may have continuous, mixed ... pure integer variables. Due to the black-box nature of the objective function, derivatives ... optimal solutions within very few expensive evaluations. The multimodality of the expensive black-box function...

• ALIAS

• Referenced in 2 articles [sw25466]
• backdoor is viewed as a black-box optimization problem. The tool’s modular structure allows ... solvers and black-box optimization heuristics. In practice, for a number of hard SAT instances...

• CONORBIT

• Referenced in 3 articles [sw20608]
• trust regions. This paper presents CONORBIT (CONstrained Optimization by Radial Basis function Interpolation in Trust ... derivative-free algorithm for constrained black-box optimization where the objective and constraint functions...

• COOPR

• Referenced in 5 articles [sw04914]
• Scripts that simplify IO between optimizers and black-box applications SUCASA: Customize MIP solvers...

• GPareto

• Referenced in 5 articles [sw28711]
• applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement...

• LocalSolver

• Referenced in 15 articles [sw04850]
• paper introduces LocalSolver 1.x, a black-box local-search solver for general ... combinatorial optimization problems which are out of reach of existing black-box tree-search solvers...

• SO-I

• Referenced in 10 articles [sw10100]
• solving purely integer optimization problems that have computationally expensive black-box objective functions and that ... algorithm was developed for solving global optimization problems, meaning that the relaxed optimization problems have...

• blackbox

• Referenced in 2 articles [sw14922]
• Blackbox: A procedure for parallel optimization of expensive black-box functions. This note provides ... that is designed to efficiently optimize expensive black-box functions. It uses the response surface...

• MODIR

• Referenced in 5 articles [sw36993]
• paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest...

• BMOBench

• Referenced in 3 articles [sw15106]
• Black-Box Multi-Objective Optimization Benchmarking (BMOB) Platform. The aim of this platform ... /consolidate/ black-box multi-objectives problems from the literature into a single framework; which makes ... easier for researchers in the Multi-Objective Optimization community to compare, assess, and analyze previous...

• TESTINT

• Referenced in 1 article [sw36991]
• directions and nonmonotone line searches for black-box optimization problems with integer variables. In this ... algorithmic framework to solve black-box problems with integer variables. The strategy included ... solvers for black-box integer optimization...