• tgp

  • Referenced in 25 articles [sw07921]
  • latter supports derivative-free optimization of noisy black-box functions...
  • SLEP

  • Referenced in 32 articles [sw13487]
  • optimal for smooth convex optimization via the first-order black-box methods. 3) Efficient Projection...
  • OPAL

  • Referenced in 6 articles [sw13119]
  • optimization problem to be solved. A black-box optimization solver takes care of the rest...
  • mlrMBO

  • Referenced in 4 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...
  • PESC

  • Referenced in 3 articles [sw17860]
  • information-theoretic framework for solving global black-box optimization problems that also have black ... towards a unified solution for constrained Bayesian optimization...
  • MISO

  • Referenced in 3 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...
  • RBFOpt

  • Referenced in 2 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...
  • COOPR

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

  • Referenced in 2 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...
  • NESUN

  • Referenced in 16 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...
  • LocalSolver

  • Referenced in 13 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...
  • CONORBIT

  • Referenced in 2 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...
  • ALIAS

  • Referenced in 1 article [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...
  • SO-I

  • Referenced in 5 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...
  • BMOBench

  • Referenced in 1 article [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...
  • GPareto

  • Referenced in 1 article [sw28711]
  • applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement...
  • blackbox

  • Referenced in 0 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...
  • ParamHelpers

  • Referenced in 0 articles [sw15944]
  • parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters...
  • IBEX

  • Referenced in 10 articles [sw11947]
  • also be used as a black-box solver. Two emblematic problems that can be addressed ... system of (nonlinear) equations is calculated. Global optimization. A global minimizer of some function under...
  • AQUARS

  • Referenced in 10 articles [sw07570]
  • quasi-multistart framework for global optimization of expensive functions using response surface models We present ... global minimum of a computationally expensive black-box function subject to bound constraints ... model and compare them with alternative global optimization methods on an 8-dimensional watershed model...