• BARON

  • Referenced in 307 articles [sw00066]
  • problems to global optimality. Purely continuous, purely integer, and mixed-integer nonlinear problems...
  • Optimization Toolbox

  • Referenced in 277 articles [sw10828]
  • Description: Solve linear, quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides functions for finding ... linear programming, mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares...
  • ANTIGONE

  • Referenced in 80 articles [sw09241]
  • Nonlinear Equations, a general mixed-integer nonlinear global optimization framework. ANTIGONE is the evolution...
  • KNITRO

  • Referenced in 169 articles [sw00490]
  • smooth optimization problems, both convex and nonconvex. It is also effective for nonlinear regression, problems ... MPECs), and mixed-integer programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO ... KNITRO will remain the leader in nonlinear optimization...
  • Portfolio Safeguard

  • Referenced in 20 articles [sw14686]
  • nonlinear and mixed-integer nonlinear optimization package in Windows operating system. PSG contains precoded major...
  • MultiMin

  • Referenced in 65 articles [sw07546]
  • multiMin solves general constrained mixed-integer global optimization problems. It tries to find all local ... multi-start method using a suitable nonlinear programming subsolver...
  • MINOTAUR

  • Referenced in 18 articles [sw06268]
  • toolkit for solving mixed-integer nonlinear optimization problems. We study methods for building polyhedral relaxations...
  • JuMP

  • Referenced in 50 articles [sw16108]
  • range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear...
  • MuShROOM

  • Referenced in 8 articles [sw12000]
  • investigates efficient numerical methods for nonlinear mixed-integer optimal control and model-predictive control problems ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...
  • qpHPSC

  • Referenced in 8 articles [sw12001]
  • investigates efficient numerical methods for nonlinear mixed-integer optimal control and model-predictive control problems ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...
  • PSG

  • Referenced in 6 articles [sw33474]
  • package for solving nonlinear and mixed-integer nonlinear optimization problems in Windows and Linux (Ubuntu...
  • FilMINT

  • Referenced in 43 articles [sw06197]
  • describe a new solver for convex mixed-integer nonlinear programs (MINLPs) that implements a linearization ... branch-and-bound algorithm for convex MINLP optimization problems.” Comput. Chemical Engrg ... complete re-solution of a master mixed-integer linear program (MILP) by adding new linearizations ... branch-and-bound tree whenever an integer solution is found. The new solver, FilMINT, combines...
  • MISQPN

  • Referenced in 3 articles [sw07057]
  • MISQPN: A Fortran subroutine for mixed-integer nonlinear optimization by outer approximation supported by mixed...
  • DICOPT

  • Referenced in 34 articles [sw04938]
  • solving mixed-integer nonlinear programming (MINLP) problems that involve linear binary or integer variables ... nonlinear continuous variables. While the modeling and solution of these MINLP optimization problems ... stage of maturity and reliability as linear, integer or non-linear programming modeling, these problems ... solved using any NLP (Nonlinear Programming) or MIP (Mixed-Integer Programming) solver that runs under...
  • MISQP

  • Referenced in 11 articles [sw06267]
  • MISQP solves mixed-integer nonlinear programming problems by a modified sequential quadratic programming (SQP) method ... Under the assumption that integer variables have a smooth influence on the model functions ... integer variable, successive quadratic approximations are applied. It is not assumed that integer variables ... only at integer points. The code is applicable also to nonconvex optimization problems...
  • OSiL

  • Referenced in 10 articles [sw07617]
  • optimization problems including linear programs, mixed-integer programs, quadratic programs, and very general nonlinear programs ... much superior to current standard forms for optimization problem instances. First, it uses the object...
  • SUSPECT

  • Referenced in 1 article [sw33156]
  • source toolkit that symbolically analyzes mixed-integer nonlinear optimization problems formulated using the Python algebraic...
  • DFL

  • Referenced in 25 articles [sw05163]
  • 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...
  • MILANO

  • Referenced in 2 articles [sw05166]
  • present details of MILANO (mixed-integer linear and nonlinear optimizer), a Matlab-based toolbox ... cone programming problems and their extensions to mixed-integer second-order cone programming problems...
  • 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...