Global Optimization of Mixed-Integer Nonlinear Programs

اسناد مشابه

• A Framework for Globally Optimizing Mixed-Integer Signomial Programs

  مقاله‌ی دسترسی آزاد۲۰۱۳Journal of Optimization Theory and ApplicationsRuthMisener, Christodoulos A.Floudas

• A Framework for Globally Optimizing Mixed-Integer Signomial Programs

  سند علمی۲۰۱۴J. Optimization Theory and ApplicationsRuth Misener, Christodoulos A. Floudas

• Global optimization of mixed-integer nonlinear programs: A theoretical and computational study

  سند علمی۲۰۰۴Math. Program.Mohit Tawarmalani, Nikolaos V. Sahinidis

  This work addresses the development of an efficient solution strategy for obtaining global optima of continuous, integer, and mixed-integer nonlinear programs. Towards this end, we develop novel relaxation schemes, range reduction tests, and branching strategies which we incorpor

• sufficient global optimality conditions for general mixed integer nonlinear programming problems

  مقالهbulletin of the iranian mathematical societyj. quan, department of mathematics, yibin university, yibin, sichuan, 644007, china. z. y. wu, school of mathematical sciences, chongqing normal university, chongqing 401331, china. g. q. li, school of mathematical sciences, chongqing normal university, chongqing 401331, china.

  ‎in this paper‎, ‎some kkt type sufficient global optimality conditions‎ ‎for general mixed integer nonlinear programming problems with‎ ‎equality and inequality constraints (minpp) are established‎. ‎we achieve‎ ‎this by employing a lagrange function for minpp‎. ‎in addition‎, ‎

• Sufficient global optimality conditions for general mixed integer nonlinear programming problems

  مقاله۲۰۱۶Bulletin of the Iranian Mathematical SocietyJ. Quan, Z. Y. Wu, G. Q. Li

  In this paper, some KKT type sufficient global optimality conditions for general mixed integer nonlinear programming problems with equality and inequality constraints (MINPP) are established. We achieve this by employing a Lagrange function for MINPP. In addition, verifiable suff

• SCIP: Global Optimization of Mixed-Integer Nonlinear Programs in a Branch-and-Cut Framework

  سند علمی۲۰۱۶STEFAN VIGERSKE, AMBROS GLEIXNER, Stefan Vigerske, Ambros Gleixner

  This paper describes the extensions that were added to the constraint integer programming framework SCIP in order to enable it to solve convex and nonconvex mixed-integer nonlinear programs (MINLPs) to global optimality. SCIP implements a spatial branch-and-bound algorithm based