Mixed integer nonlinear programmingParallel computingHeterogeneous methodIn a heterogeneous parallel structure, two types of algorithms, Quesada Grossmann's (QG) algorithm and Tabu search (TS), are used to solve mixed integer nonlinear programming (MINLP) simultaneously. Communication is well designed ...
Mixed integer programming problems are defined as those where some or all of the decision variables are only allowed to be integers. This is typically required in a range of real world applications in allocation and planning problems where the discrete variables represent quantities, such as the nu...
The solver MINLPbbsolves large, sparse or dense mixed-integer linear, quadratic and nonlinear programming problems. MINLP implements a branch-and-bound algorithm searching a tree whose nodes correspond to continuous nonlinearly constrained optimization problems. The continuous problems are solved using filte...
The solverstoaMINLPis using a Single-search Tree Outer Approximation algorithm to solve Mixed-Integer NonLinear Programming (MINLP) problems. Handles both convex or nonconvex problems, but is best suited for solving convex problems. If the nonlinear subproblems are known to be convex, setting an in...
The MISQP solver handles dense 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, i.e., that function values do not change drastically when in- or decre...
In this article, we aim to extend the firefly algorithm (FA) to solve bound constrained mixed-integer nonlinear programming (MINLP) problems. An exact penalty continuous formulation of the MINLP problem is used. The continuous penalty problem comes out by relaxing the integrality constraints and by...
The present work utilizes the DOMINO framework, a data-driven optimization methodology, to address bi-level integrated planning and scheduling problems with mixed-integer nonlinear programming (MINLP) formulations in different multi-product process industries with a high number of variables and constraints...
Mixed-integer nonlinear programmingGlobal optimizationSoftwareWe present a flexible framework for general mixed-integer nonlinear programming (MINLP), called Minotaur, that enables both algorithm exploration and structure exploitation without compromising computational efficiency. This paper documents the concepts ...
permeator model and mixed-integer nonlinear programming (MINLP) is proposed. A permeator system superstructure is used to embed a very large number of possible network configurations and allows the permeator feed-side pressure to be fixed or a design ...
You can also configure the options for intlinprog, which is the Main solver for mixed integer linear programming problems in the MINLP solver. Get pint = setSolverMINLP(p,'OuterApproximation','IntMainSolverOptions', optimoptions('intlinprog','Display','off')); pint.solverOptionsMINLP.IntMain...