• NPSOL

  • Referenced in 147 articles [sw07420]
  • effective if the objective or constraint functions are expensive to evaluate...
  • DFO

  • Referenced in 129 articles [sw04737]
  • than 100 variables), their objective function is relatively expensive to compute and derivatives of such...
  • MLMSRBF

  • Referenced in 43 articles [sw07571]
  • method for the global optimization of expensive functions We introduce a new framework ... global optimization of computationally expensive multimodal functions when derivatives are unavailable. The proposed Stochastic Response ... response surface model to approximate the expensive function and identifies a promising point for function ... approach for the global optimization of expensive functions...
  • ORBIT

  • Referenced in 38 articles [sw20552]
  • ORBIT: optimization by radial basis function interpolation in trust-regions. We present a new derivative ... unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolating Radial Basis ... ORBIT to interpolate nonlinear functions using fewer function evaluations than the polynomial models considered ... only a relatively small number of expensive function evaluations are available. Results on two very...
  • SPACE

  • Referenced in 36 articles [sw04716]
  • analysis and global optimization of very expensive functions. The major functions are : Fitting or Estimation...
  • APPSPACK

  • Referenced in 30 articles [sw04400]
  • specifically designed for problems characterized by expensive function evaluations. Using APPSPACK to solve optimization problems...
  • SVMlight

  • Referenced in 264 articles [sw04076]
  • problem of learning a ranking function. The optimization algorithms used in SVMlight are described ... computed at essentially no computational expense, but they are conservatively biased. Almost unbiased estimates provides ... version is an algorithm for learning ranking functions [Joachims, 2002c]. The goal is to learn...
  • AQUARS

  • Referenced in 12 articles [sw07570]
  • 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...
  • MISO

  • Referenced in 11 articles [sw20541]
  • optimization framework. MISO aims at solving computationally expensive black-box optimization problems with mixed-integer ... order to obtain an objective function value. Examples include optimal reliability design and structural optimization ... cheap surrogate models to approximate the expensive objective function and to decide at which points ... variable domain the expensive objective function should be evaluated. We develop a general surrogate model...
  • Boosters

  • Referenced in 12 articles [sw20609]
  • methods used to minimize an expensive objective function when its derivatives are not available...
  • Grain

  • Referenced in 68 articles [sw19539]
  • shift registers and a non-linear output function. The cipher has the additional feature that ... speed can be increased at the expense of extra hardware. The key size...
  • SO-I

  • Referenced in 12 articles [sw10100]
  • optimization problems that have computationally expensive black-box objective functions and that may have computationally ... expensive constraints. The algorithm was developed for solving global optimization problems, meaning that the relaxed ... optimization problems, and problems with linear objective functions. The performance of SO-I, a genetic...
  • MATSuMoTo

  • Referenced in 4 articles [sw20551]
  • MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have ... computationally cheap approximations of the expensive objective function in order to guide the search ... computational expense of doing a single function evaluation, the goal is to find optimal solutions ... evaluations. The multimodality of the expensive black-box function requires an algorithm that is able...
  • E-NAUTILUS

  • Referenced in 4 articles [sw17037]
  • considered with any interactive method: computationally expensive functions and aspects of human behavior. In this ... bias and extends its applicability for computationally expensive multiobjective optimization problems. In the E-NAUTILUS ... stage, starting from the worst possible objective function values, the decision maker is shown...
  • mlrMBO

  • Referenced in 8 articles [sw19214]
  • Model-Based Optimization of Expensive Black-Box Functions. We present mlrMBO, a flexible and comprehensive ... problem of expensive black-box optimization by approximating the given objective function through a surrogate...
  • GATE

  • Referenced in 6 articles [sw06442]
  • GATE: A genetic algorithm designed for expensive cost functions. We introduce the GATE algorithm, which...
  • OPT++

  • Referenced in 20 articles [sw05203]
  • which the function and constraint evaluations require the execution of an expensive computer simulation. Currently...
  • iDNA6mA-PseKNC

  • Referenced in 21 articles [sw27663]
  • biological functions of 6mA, but it is time-consuming and expensive to determine them...
  • SHGO

  • Referenced in 2 articles [sw26954]
  • minima of an objective function with expensive function evaluations efficiently which is especially suitable...