• simannf90

  • Referenced in 116 articles [sw05059]
  • summary: A new global optimization algorithm for functions of continuous variables is presented, derived from ... quite costly in terms of function evaluations, but its cost can be predicted in advance...
  • TAMC

  • Referenced in 71 articles [sw07198]
  • model computes the gradient of a cost function with respect to control variables. Generation...
  • ASA

  • Referenced in 68 articles [sw04736]
  • nonlinear constrained non-convex cost-function over a D-dimensional space. This algorithm permits...
  • Odyssee

  • Referenced in 32 articles [sw12533]
  • computation of the gradient of a cost function represented by a large-size fortran program...
  • NOMAD

  • Referenced in 67 articles [sw02916]
  • optimization is about optimizing functions that are usually given as costly programs with no derivative...
  • FLIRT

  • Referenced in 16 articles [sw02671]
  • freedom) and it implements a general cost function weighting scheme for all cost functions...
  • EGO

  • Referenced in 252 articles [sw07588]
  • Efficient Global Optimization (EGO) algorithm solves costly box-bounded global optimization problems with additional linear ... data collected by evaluating the objective function at a few points. Then, EGO balances between...
  • frontier

  • Referenced in 15 articles [sw11127]
  • Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components...
  • D-ADMM

  • Referenced in 10 articles [sw28440]
  • optimization problem there is a private cost function and a private constraint set at each ... minimize the sum of all the cost functions, constraining the solution...
  • Adjoint

  • Referenced in 8 articles [sw08877]
  • arbitrary sets of governing equations and cost functions, and that it is exactly consistent with ... equations. These significant advantages come at the cost of increased memory requirements for the adjoint...
  • ASTRX/OBLX

  • Referenced in 5 articles [sw19450]
  • ASTRX generates code that implements a cost function that is carefully constructed so that ... best meets the input specifications. This cost function code is then compiled and linked...
  • PSOPT

  • Referenced in 7 articles [sw20700]
  • Local discretization methods approximate the time dependent functions using local splines, and can be seen ... controls and state variables; General cost function with Lagrange and Mayer terms. Linear or nonlinear...
  • LED

  • Referenced in 42 articles [sw18983]
  • lightweight hash function PHOTON on the Xilinx FPGA series Spartan-3 (low-cost) and Artix ... implementation (as of today) of any hash function...
  • NETGEN

  • Referenced in 144 articles [sw09229]
  • generate capacitated and uncapacitated transportation and minimum cost flow network problems, and assignment problems ... paper contains the solution time and objective function value of 40 assignment, transportation, and network...
  • ToulBar2

  • Referenced in 6 articles [sw07289]
  • Toulbar2, An Open Source Exact Cost Function Network Solver. ToulBar2 is an open source weighted...
  • Lasagne

  • Referenced in 6 articles [sw20936]
  • momentum, RMSprop and ADAM. Freely definable cost function and no need to derive gradients...
  • SVMlight

  • Referenced in 242 articles [sw04076]
  • 2002c]. The goal is to learn a function from preference examples, so that it orders ... Transducer. SVMlight can also train SVMs with cost models (see [Morik...
  • CECM

  • Referenced in 5 articles [sw06446]
  • function framework and integrated in the cost function. Experiments with synthetic and real data sets...
  • GATE

  • Referenced in 5 articles [sw06442]
  • genetic algorithm designed for expensive cost functions. We introduce the GATE algorithm, which was specifically ... designed to lessen the cost of genetic algorithms (GAs) for engineering design problems. The main ... design using a relatively low number of function evaluations. The heart of the algorithm...
  • OPTRAGEN

  • Referenced in 5 articles [sw07390]
  • output of the transcription is a cost function and a constraint function that...