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 Nonlinear ProgrammingMichael R. Bussieck Armin Pruessner ∗February 19, 2003AbstractRecently, the area of Mixed Integer Nonlinear Programming (MINLP)has experienced tremendous growth and a flourish of research activity.In this article we will give a brief overview of past developments in...
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 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...
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...
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 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...
mixed-integer nonlinear programming Runhong Qi 1 , Michael A. Henson * Department of Chemical Engineering, Louisiana State Uni6ersity, Baton Rouge, LA 70803-7303, USA Received 4 April 1999; received in revised form 24 August 2000; accepted 24 August 2000 ...
You can also configure the options forintlinprog, 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')); ...