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 ...
programming (SQP) stabilised by using trust regions. It can deal with both convex and nonconvex problems and problems with possibly expensive function evaluations. In addition, it is not assumed that the mixed integer problem has to be relaxable; the function evaluations are requested only at ...
The Sequential Mixed Integer Nonlinear Programming (SMINLP) optimizer is equivalent to the SNLP optimizer with only one difference. Many problems require variables take only discrete values. One example might be to optimize on the number of turns in a coil. To be able to optimize on number of...
Mixed integer nonlinear programming Branch-and-bound Outer-approximation Open-source MINLP test problems 1. Introduction Solution algorithms for mixed integer nonlinear programs (MINLPs) have become an active area of research [10], [11], [14], [20], [31], [36]. Owing to the steady progress...
如果票数必须是整数，则需要mixed-integer nonlinear programming。如果不要求整数，则非线性优化大概可以...
Mixed Integer Nonlinear ProgrammingSebastian SagerDiscrete Optimization GroupInstitute for Computer ScienceUniversity of HeidelbergWorkshop Mixed Integer ProgrammingFebruary 16 – 18, 2005Heidelberg 阅读了该文档的用户还阅读了这些文档 1 p. 安全生产责任考核制度 3 p. 安全检查管理制度 6 p. 安全教育管理...
Matlab solvers for MINLP problem (Mixed-Integer Nonlinear Programming). Solves Nonconvex, convex and pseudoconvex prroblems.
selects the mixed integer nonlinear programming (MINLP) solver and enables you to specify associated solver options for portfolio optimization for aPortfolio,PortfolioCVaR, orPortfolioMADobject. When any one or any combination of'Conditional'BoundType,MinNumAssets, orMaxNumAssetsconstraints are active, ...
robust solver tech-nology for the practical solution of problems.1 IntroductionMixed Integer Nonlinear Programming (MINLP) refers to mathematical pro-gramming with continuous and discrete variables and nonlinearities in the ob-jective function and constraints. The use of MINLP is a natural approach of...
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...