Výsledky vyhledávání - mixed binary interior programming problems

Technical Note—Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications.

Autoři: Kılınç-Karzan, Fatma Küçükyavuz, Simge Lee, Dabeen a další

Zdroj: Operations Research; Jan/Feb2025, Vol. 73 Issue 1, p251-269, 19p

Témata: SUBMODULAR functions, FRACTIONAL programming, SUBSET selection, CONVEX sets, SPARSE approximations

Résolution d'un problème quadratique non convexe avec contraintes mixtes par les techniques de l'optimisation D.C.

Solving a binary quadratic problem with mixed constraints by D.C. optimization techniques

Autoři: Al Kharboutly, Mira

Thesis Advisors: Normandie, Yassine, Adnan

Témata: Optimisation DC, Algorithmes DC (DCA), Programmation semi-définie positive, Pénalité exacte, DC optimization, DC algorithm (DCA), Exact penalty, Quadratic programming, Nonsmooth Newton method, Semidefinite programming, Interior points methods

Dostupnost: http://www.theses.fr/2018NORMLH06/document

A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems.

Autoři: Morlet‐Espinosa, Javier Flores‐Tlacuahuac, Antonio

Zdroj: AIChE Journal; Sep2024, Vol. 70 Issue 9, p1-24, 24p

Témata: NONLINEAR programming, MATHEMATICAL optimization, NONLINEAR equations, INTEGER programming, ARTIFICIAL intelligence

New Mixed-Integer Nonlinear Programming Formulations for the Unit Commitment Problems with Ramping Constraints.

Autoři: Bacci, Tiziano Frangioni, Antonio Gentile, Claudio a další

Zdroj: Operations Research; Sep/Oct2024, Vol. 72 Issue 5, p2153-2167, 15p

Témata: ELECTRIC power, NONLINEAR programming, DYNAMIC programming, ELECTRICITY pricing, CONSTRAINT programming

Computation of Systemic Risk Measures: A Mixed-Integer Programming Approach.

Autoři: Ararat, Çağın Meimanjan, Nurtai

Zdroj: Operations Research; Nov/Dec2023, Vol. 71 Issue 6, p2130-2145, 16p

Témata: SYSTEMIC risk (Finance), CAPITAL allocation, CAPITAL requirements, CASH flow, COUNTERPARTY risk, DISTRIBUTION planning

Battery Sizing Method for Microgrids—A Colombian Application Case.

Autoři: Zamora-Muñoz, Andres Felipe Orozco-Gutierrez, Martha Lucia Lopez-Santiago, Dany Mauricio a další

Zdroj: Computation; May2025, Vol. 13 Issue 5, p114, 19p

Témata: BATTERY storage plants, MIXED integer linear programming, RENEWABLE energy sources, OPTIMIZATION algorithms, ELECTRIC power distribution grids, MICROGRIDS

Notoriously hard (mixed-)binary QPs: empirical evidence on new completely positive approaches.

Autoři: Bomze, Immanuel M. Cheng, Jianqiang Dickinson, Peter J. C. a další

Zdroj: Computational Management Science; Oct2019, Vol. 16 Issue 4, p593-619, 27p

Témata: QUADRATIC assignment problem, KNAPSACK problems, ASSIGNMENT problems (Programming), EVIDENCE, MATHEMATICS

Fix and bound: an efficient approach for solving large-scale quadratic programming problems with box constraints.

Autoři: Locatelli, Marco Piccialli, Veronica Sudoso, Antonio M.

Zdroj: Mathematical Programming Computation; Jun2025, Vol. 17 Issue 2, p231-263, 33p

Exploiting the polyhedral geometry of stochastic linear bilevel programming: Exploiting the polyhedral geometry of stochastic linear...: G. Muñoz et al.

Autoři: Muñoz, Gonzalo Salas, David Svensson, Anton

Zdroj: Mathematical Programming; Mar2025, Vol. 210 Issue 1, p695-730, 36p

Témata: BILEVEL programming, STOCHASTIC geometry, PROBLEM solving, ALGORITHMS, PROBABILITY theory

From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems.

Autoři: Gu, Xin Krish, Muralee Sohail, Shaleeza a další

Zdroj: Computation; Jan2025, Vol. 13 Issue 1, p10, 27p

Témata: CONSTRAINT programming, UNIVERSITIES & colleges, BLENDED learning, HIGHER education, DEEP diving

LEVERAGING GPU BATCHING FOR SCALABLE NONLINEAR PROGRAMMING THROUGH MASSIVE LAGRANGIAN DECOMPOSITION.

Autoři: KIM, YOUNGDAE PACAUD, FRANÇOIS SCHANEN, MICHEL a další

Zdroj: SIAM Journal on Scientific Computing; 2025, Vol. 47 Issue 5, pB1133-B1157, 25p

Témata: NONLINEAR programming, DECOMPOSITION method, BATCH processing

Korporace: OAK Ridge National Laboratory

A fresh CP look at mixed-binary QPs: new formulations and relaxations.

Autoři: Bomze, Immanuel Cheng, Jianqiang Dickinson, Peter a další

Zdroj: Mathematical Programming; Nov2017, Vol. 166 Issue 1/2, p159-184, 26p

Témata: QUADRATIC programming, MATHEMATICAL optimization, NONLINEAR analysis, EUCLIDEAN distance, CONVEX functions, RELAXATION methods (Mathematics)

Implementation of Mixed-integer Programming on Embedded System.

Autoři: Novak, Jakub Chalupa, Petr

Zdroj: Procedia Engineering. 2015, Vol. 100, p1649-1656. 8p.

Témata: Mixed integer linear programming, Embedded computer systems, Control theory (Engineering), Problem solving, Quadratic programming

An exact projection-based algorithm for bilevel mixed-integer problems with nonlinearities.

Autoři: Merkert, Maximilian Orlinskaya, Galina Weninger, Dieter

Zdroj: Journal of Global Optimization; Nov2022, Vol. 84 Issue 3, p607-650, 44p

Témata: BILEVEL programming, LINEAR programming, ALGORITHMS, PROBLEM solving, NONLINEAR programming, GLOBAL optimization

A finite ϵ-convergence algorithm for two-stage stochastic convex nonlinear programs with mixed-binary first and second-stage variables.

Autoři: Li, Can Grossmann, Ignacio E.

Zdroj: Journal of Global Optimization; Dec2019, Vol. 75 Issue 4, p921-947, 27p

Témata: STOCHASTIC programming, BRANCH & bound algorithms, MATHEMATICAL decomposition, ALGORITHMS, BINARY number system

A sequential linear programming (SLP) approach for uncertainty analysis-based data-driven computational mechanics.

Autoři: Huang, Mengcheng Liu, Chang Du, Zongliang a další

Zdroj: Computational Mechanics; Apr2024, Vol. 73 Issue 4, p943-965, 23p

Témata: LINEAR programming, COMPUTATIONAL mechanics, ENGINEERING design, INTERIOR-point methods, DECISION making

Derivative-free mixed binary necklace optimization for cyclic-symmetry optimal design problems.

Autoři: Tran, Thi Thoi Sinoquet, Delphine Da Veiga, Sébastien a další

Zdroj: Optimization & Engineering; Mar2023, Vol. 24 Issue 1, p353-394, 42p

Relaxations Applicable to Mixed Integer Predictive Control - Comparisons and Efficient Computations

Autoři: Axehill, Daniel Hansson, Anders Vandenberghe, Lieven

Zdroj: LiTH-ISY-R.

Témata: Newton method, Riccati equations, Computational complexity, Predictive control, Quadratic programming, Relaxation theory, Interior point algorithm, Newton system, Riccati recursion, Linear computational complexity, Linear inequality constraints, Mixed integer predictive control, TECHNOLOGY, TEKNIKVETENSKAP

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56158
https://liu.diva-portal.org/smash/get/diva2:316943/FULLTEXT01.pdf

Risk-Adaptive Local Decision Rules.

Autoři: Royset, Johannes O. Lejeune, Miguel A.

Zdroj: Operations Research; Jul/Aug2025, Vol. 73 Issue 4, p2125-2145, 21p

Témata: MATHEMATICAL optimization, SENSITIVITY analysis, RISK perception, STATISTICAL correlation, JUDGMENT (Psychology), NONLINEAR functions

Convexification techniques for fractional programs.

Autoři: He, Taotao Liu, Siyue Tawarmalani, Mohit

Zdroj: Mathematical Programming; Sep2025, Vol. 213 Issue 1/2, p107-149, 43p

Témata: FRACTIONAL programming, MATHEMATICAL optimization, CONVEX sets, COMBINATORIAL optimization, MATHEMATICAL simplification, MATHEMATICAL transformations, POLYNOMIALS