Suchergebnisse - mixed-integer linear programming problems*

Systematic Literature Review for Robust Mixed-Integer Linear Programming Models Using Benders Decomposition in Facility Location Problems

Autoren: Fadiah Hasna Nadiatul Haq Diah Chaerani Anita Triska

Quelle: Cauchy: Jurnal Matematika Murni dan Aplikasi, Vol 10, Iss 1, Pp 326-344 (2025)

Schlagwörter: systematic literature review, QA1-939, robust optimization, facility location problem, mixed-integer linear programming, benders decomposition, Mathematics

Zugangs-URL: https://doaj.org/article/d1b311d459e84df495615cc80a47e409

MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems

Autoren: Huigen Ye Yaoyang Cheng Hua Xu et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :94-103

Optimal area polygonisation problems: Mixed integer linear programming models.

Autoren: Hernández-Pérez, Hipólito Riera-Ledesma, Jorge Rodríguez-Martín, Inmaculada et al.

Quelle: European Journal of Operational Research. Mar2026, Vol. 329 Issue 3, p767-777. 11p.

Schlagwörter: *TRAVELING salesman problem, MIXED integer linear programming, COMPUTATIONAL geometry, BENCHMARK problems (Computer science), TRIANGULATION, NP-hard problems

Hyperrectangular partition schemes for two-stage stochastic linear mixed integer programming problems.

Autoren: Wang, Fenlan^1,2 (AUTHOR) flwang@nuaa.edu.cn

Quelle: Optimization. Nov2025, Vol. 74 Issue 16, p4207-4222. 16p.

Schlagwörter: *MIXED integer linear programming, *STOCHASTIC programming, *OPTIMIZATION algorithms, *ALGORITHMS, *PROBLEM solving, *DECOMPOSITION method, *MATHEMATICS

Analysis Of Branch And Cut And Branch And Bound Methods To Solve Mixed Integer Linear Programming Problems

Autoren: null Sawaluddin Maharani Beruh

Quelle: Journal of Mathematics Technology and Education. 3:401-411

Mixed-Integer Linear Programming Solvers for Local Grid Capacity Planning Problems

Autoren: Sergii Saukh Taras Puchko

Quelle: 2024 IEEE 5th KhPI Week on Advanced Technology (KhPIWeek). :1-6

An outer approximation algorithm for generating the Edgeworth–Pareto hull of multi-objective mixed-integer linear programming problems

Autoren: Fritz Bökler Sophie N. Parragh Markus Sinnl et al.

Weitere Verfasser: Fritz Bökler Sophie N. Parragh Markus Sinnl et al.

Quelle: Mathematical Methods of Operations Research. 100:263-290

Schlagwörter: Multi-objective optimization, Outer approximation, 0209 industrial biotechnology, ddc:330, 0211 other engineering and technologies, Mixed-integer programming, 02 engineering and technology

Zugangs-URL: https://hdl.handle.net/10419/317040
https://epub.jku.at/id/9526828
https://doi.org/10.1007/s00186-023-00847-8
https://permalink.obvsg.at/ULI/AC17058550

Reactive tabu search and mixed-integer linear programming for multi-day assignment, scheduling, and routing problems of specialised education and home-care services.

Autoren: Bou Saleh, Mira Chariete, Abderrahim Schwartz, Leo et al.

Quelle: International Journal of Production Research. Mar2025, Vol. 63 Issue 5, p1779-1802. 24p.

Schlagwörter: *HOME care services, *LINEAR programming, *OVERTIME, *ALGORITHMS, METAHEURISTIC algorithms

A unified framework for bivariate clustering and regression problems via mixed-integer linear programming

Autoren: John Alasdair Warwicker Steffen Rebennack

Quelle: Discrete Applied Mathematics, 336, 15 – 36

Schlagwörter: Decomposition, Mixed-integer linear programming, ddc:330, Economics, 0211 other engineering and technologies, 02 engineering and technology, Function fitting, 01 natural sciences, Clustering, Regression, Outlier detection, 0101 mathematics

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000157833/151318595
https://doi.org/10.5445/IR/1000157833
https://publikationen.bibliothek.kit.edu/1000157833

On the Equivalence Between Mixed-Integer Linear and Linear Programming Problems in MPC for Photovoltaic Plants with Energy Storage

Autoren: Rodrigo Graves Angel L. Cedeño Cùsar Silva et al.

Quelle: 2024 IEEE ANDESCON. :1-6

Research of methods for solving mixed integer linear programming problems

Autoren: Tatiana Vladimirovna Sivakova Vladimir Anatolievich Sudakov Vasiliy Sergeyevich Shimko

Quelle: Keldysh Institute Preprints. :1-18

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Introducing Clause Cuts: Strong No-Good Cuts for MaxSAT Problems in Mixed Integer Linear Programming

Autoren: Engelhardt, Max Adhikari, Milan Staszek, Jonasz et al.

Schlagwörter: Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, 90C10 (Primary), 90C57 (Secondary)

Zugangs-URL: http://arxiv.org/abs/2509.21687

On Two New Algorithms for Solving Mixed Integer Linear Programming Problems and Their Applications

Autoren: Taher Taher

Quelle: International Journal of Advances in Applied Computational Intelligence. 6:62-73

Mixed integer linear programming models to measure the economic impact of Zero-Buffers in Heijunka Flow Shop Scheduling

Autoren: Bautista Valhondo, Joaquín Alfaro Pozo, Rocío Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses et al.

Weitere Verfasser: Bautista Valhondo, Joaquín Alfaro Pozo, Rocío Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Flowshop scheduling problem, Heijunka, IBM-CPLEX, Mixed integer linear programming, Just in Time, Mixed model sequencing problems, Àrees temàtiques de la UPC::Economia i organització d'empreses, Production assembly lines

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2117/417751
https://doi.org/10.37610/dyo.v0i82.663

Comparing the solvers for the mixed integer linear programming problems and the software

Autoren: Ignatov, A.N. Ivanov, S.V.

Schlagwörter: УДК 004.4, УДК 51-3, решатель, comparison, software environment, сравнение, mixed integer linear programming, программная среда, solver, смешанное целочисленное линейное программирование

Dateibeschreibung: application/pdf

Zugangs-URL: http://dspace.susu.ru/xmlui/handle/00001.74/62774

Integrated optimisation of operations and financing for large-scale multi-period multi-product capital-constrained supply chains.

Autoren: Cheng, Junheng Lin, Yanhong Cheng, Jingya et al.

Quelle: International Journal of Production Research. Aug2025, Vol. 63 Issue 15, p5838-5862. 25p.

Schlagwörter: *SUPPLY chains, *BUDGET, *HEURISTIC, *INVESTMENT policy, *PROCESS optimization, MIXED integer linear programming

Exact solution algorithms for biobjective mixed integer programming problems.

Autoren: Emre, Deniz Karsu, Özlem Ulus, Firdevs

Quelle: International Transactions in Operational Research. Aug2025, p1. 34p. 14 Illustrations.

Schlagwörter: *MATHEMATICAL optimization, *EMPIRICAL research, *ALGORITHMS, MIXED integer linear programming, MULTI-objective optimization

Developing an Enhanced Algorithms to Solve Mixed Integer Non-Linear Programming Problems Based on a Feasible Neighborhood Search Strategy

Autoren: Mochamad Wahyudi Firmansyah Firmansyah Hengki Tamando Sihotang et al.

Quelle: Register. 9:112-121

An improved compact formulation for the assortment optimization problem with small consideration sets.

Autoren: Roberti, Roberto Salvagnin, Domenico Fischetti, Matteo

Quelle: Journal of the Operational Research Society. Oct2025, Vol. 76 Issue 10, p2060-2070. 11p.

Schlagwörter: *MATHEMATICAL optimization, *DISCRETE choice models, *SIMULATION methods & models, MIXED integer linear programming, NP-hard problems, CHOICE (Psychology), SUBSET selection

Assignment strategy and lane depth in homogeneous multi-deep shuttle-based S/R systems.

Autoren: Lupi, Giacomo Accorsi, Riccardo Battarra, Ilaria et al.

Quelle: International Journal of Production Research; Oct2025, Vol. 63 Issue 19, p7110-7128, 19p

Schlagwörter: AUTOMATED storage retrieval systems, MIXED integer linear programming, STORAGE, INFORMATION storage & retrieval systems, ASSIGNMENT problems (Programming), RESOURCE allocation