• APMonitor

  • Referenced in 5 articles [sw19694]
  • APMonitor Modeling Language is optimization software for mixed-integer and differential algebraic equations ... scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP ... operation include data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control...
  • RBFOpt

  • Referenced in 8 articles [sw28416]
  • automatic model selection phase during the optimization process. Numerical experiments show that RBFOpt is highly ... test set of continuous and mixed-integer nonlinear unconstrained problems taken from the literature...
  • MISQPOA

  • Referenced in 1 article [sw07024]
  • global optimlity for convex problems. A mixed-integer linear programming master program must be solved ... nonlinear optimization program is generated to improve the best known point by solving another mixed ... integer nonlinear program by the code MISQP. Additional safeguards allow to apply MISQPOA also ... relaxable nonlinear mixed-integer programs, but without guaranteeing global optimality. In the non-relaxable case...
  • Juniper

  • Referenced in 4 articles [sw26689]
  • Julia. Nonconvex mixed-integer nonlinear programs (MINLPs) represent a challenging class of optimization problems that...
  • DFLBOX

  • Referenced in 14 articles [sw36987]
  • Derivative-free methods for bound constrained mixed-integer optimization. We consider the problem of minimizing ... variables are restricted to take integer values. We assume that the first order derivatives ... approximated explicitly. This class of mixed integer nonlinear optimization problems arises frequently in many industrial...
  • SHOT

  • Referenced in 20 articles [sw15630]
  • linear and nonlinear constraints. A sequence of linear or quadratic integer-relaxed subproblems are first ... solves a sequence of mixed-integer linear programming or mixed-integer quadratic programming subproblems ... algorithm is implemented as the supporting hyperplane optimization toolkit (SHOT) solver, and an extensive numerical...
  • OQNLP

  • Referenced in 2 articles [sw07548]
  • programs (NLPs) and mixed-integer nonlinear programs (MINLPs), in cooperation with Optimal Methods...
  • MEIGO

  • Referenced in 6 articles [sw08492]
  • present MEIGO, an R and Matlab optimization toolbox (also available in Python via a wrapper ... method (eSS) for continuous nonlinear programming (cNLP) and mixed-integer programming (MINLP) problems, and variable ... neighborhood search (VNS) for Integer Programming (IP) problems. Both methods ... submitted to Bioconductor. We evaluate MEIGO against optimization benchmarks, and illustrate its applicability...
  • DFLGEN

  • Referenced in 9 articles [sw36986]
  • DFLGEN: Derivative-free methods for mixed-integer constrained optimization problems. Methods which ... algorithms for solving continuously differentiable Mixed Integer NonLinear Programming problems with general nonlinear constraints...
  • MINOPT

  • Referenced in 6 articles [sw04939]
  • solution of various types of optimization problems. It features both an advanced modeling language ... need for efficient methods for solving Mixed-Integer Nonlinear Programming problems as well as handling...
  • TOMSYM

  • Referenced in 3 articles [sw06288]
  • enable support for ILOG’s CP Optimizer. The environment is included with the general TOMLAB ... programming Nonlinear and semidefinite programming Least squares problem (L1, L2, Infinity norm) Mixed-integer programming ... generate Matlab code for further processing Optimal modeling of expressions such...
  • MINLPB4

  • Referenced in 3 articles [sw07023]
  • MINLPB4 solves mixed-integer nonlinear programming problems by a branch-and-bound method, where ... tree consist either of mixed-integer or of continuous optimization problems differing only by modified...
  • GEKKO

  • Referenced in 1 article [sw38459]
  • package for machine learning and optimization of mixed-integer and differential algebraic equations ... scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP ... include parameter regression, data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. GEKKO...
  • bilevel

  • Referenced in 5 articles [sw25305]
  • shelf nonlinear solver to find a local optimal solution. Local optimal information is then used ... MPCC to global optimality using off-the-shelf mixed-integer solvers. This method is tested...
  • POLIP

  • Referenced in 1 article [sw33897]
  • complements the other collections of nonlinear mixed-integer programming instances: Only polynomially constrained problems ... Many of the instances are nonlinear formulations of combinatorial optimization problems. One idea of this...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ALPS

  • Referenced in 17 articles [sw00036]
  • This paper describes the design of the Abstract...
  • BPMPD

  • Referenced in 41 articles [sw00088]
  • BPMPD is a state-of-the-art implementation...
  • cdd

  • Referenced in 115 articles [sw00114]
  • The program cdd+ (cdd, respectively) is a C...
  • CSDP

  • Referenced in 202 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...