protein folding nAG introduces at Mark 30.3 a new interfacehandle_solve_minlp(h02dd) for the MINLP solver in Chapter H of thenAG Library, integrated to thenAG Optimization Modelling Suite. This new routine gives access to all of the suite facilities and uses the same interface as all the co...
A wide range of nonlinear optimization problems involve integer or discrete variables in addition to the continuous variables. These classes of optimization problems arise from a variety of applications and are denoted as mixed integer nonlinear programming MINLP problems. The integer variables can be ...
TOMLAB /MIPNLPincludes two solvers for nonconvex, convex or pseudo-convex mixed-integer nonlinear programming (MINLP) Features and capabilities The solverecpMINLPsolves convex or pseudo-convex mixed-integer nonlinear programming problems using an extended cutting plane algorithm with cuts regulated by a ...
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...
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...
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 variable. A MINLP design model is devel...
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...
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problem...
MixedIntegerNonlinear ProgrammingApplications JosefKallrath BASF-AG,ZX/ZC-C13,D-67056Ludwigshafen,Germany e-mail:josef.kallrath@basf-ag.de 2.1Introduction Inthiscontributionweapplydifferentapproachestosolvefourrather differentMINLPproblems:specialextensionstotime-indexedfor- mulationsofproductionplanningproblem...
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 ...