Suchergebnisse - (mixed‐integer OR mixed‐interier) second‐order one programming problems~

COMPUTING EXACT D-OPTIMAL DESIGNS BY MIXED INTEGER SECOND-ORDER CONE PROGRAMMING

Autoren: Sagnol, Guillaume Harman, Radoslav

Quelle: The Annals of Statistics, 2015 Oct 01. 43(5), 2198-2224.

Zugangs-URL: http://www.jstor.org/stable/43818575

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

Autoren: Bacci, Tiziano Frangioni, Antonio Gentile, Claudio et al.

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

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

Third Order Symmetric Duality in Multiobjective Programming Problems.

Autoren: Padhan, S. K. Behera, N. Biswal, G.

Quelle: International Journal of Applied & Computational Mathematics; Aug2025, Vol. 11 Issue 4, p1-16, 16p

A complete characterization of disjunctive conic cuts for mixed integer second order cone optimization.

Autoren: Belotti, Pietro Góez, Julio C. Pólik, Imre et al.

Quelle: Discrete Optimization. May2017, Vol. 24, p3-31. 29p.

Schlagwörter: Mixed integer linear programming, Conic sections, Set theory, Mathematical optimization, Disjunction (Logic)

An outer space approximation approach for generalized affine multiplicative programming problems.

Autoren: Hou, Zhisong Zhao, Zhenwei Bai, Yupeng et al.

Quelle: Advances in Continuous & Discrete Models; 8/5/2025, Vol. 2025 Issue 1, p1-25, 25p

Schlagwörter: OUTER space, BRANCH & bound algorithms, MATHEMATICAL optimization, MATHEMATICAL programming, MATHEMATICAL analysis, LINEAR programming, RELAXATION methods (Mathematics)

On the new solution to interval linear fractional programming problems.

Autoren: Khastan, A. Jimenez, B. Hernandez Moreno, A. Beato

Quelle: Evolutionary Intelligence; Oct2024, Vol. 17 Issue 5/6, p4001-4005, 5p

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

Autoren: KIM, YOUNGDAE PACAUD, FRANÇOIS SCHANEN, MICHEL et al.

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

Schlagwörter: NONLINEAR programming, DECOMPOSITION method, BATCH processing

Firma/Körperschaft: OAK Ridge National Laboratory

A solution method for stochastic multilevel programming problems. A systematic sampling evolutionary approach.

Autoren: Goshu, Natnael Nigussie Kassa, Semu Mitiku

Quelle: Operations Research & Decisions; 2024, Vol. 34 Issue 1, p149-174, 26p

Schlagwörter: STOCHASTIC programming, STATISTICAL sampling, MATHEMATICAL programming, PARTICLE swarm optimization, RANDOM variables

QUADRATIC CONVEX REFORMULATIONS FOR SEMICONTINUOUS QUADRATIC PROGRAMMING.

Autoren: BAIYI WU XIAOLING SUN DUAN LI et al.

Quelle: SIAM Journal on Optimization. 2017, Vol. 27 Issue 3, p1531-1553. 23p.

Schlagwörter: *MIXED integer linear programming, *QUADRATIC programming, *SEMIDEFINITE programming, *SUBSET selection, *ALGORITHMS

Efficient algorithm for globally computing the min–max linear fractional programming problem.

Autoren: Jiao, Hongwei Wang, Wenjie Ge, Li et al.

Quelle: RAIRO: Operations Research (2804-7303); 2023, Vol. 57 Issue 3, p1523-1537, 15p

Schlagwörter: FRACTIONAL programming, ALGORITHMS, OUTER space, COMPUTATIONAL complexity, RELAXATION methods (Mathematics), GLOBAL optimization, LINEAR programming

A hybrid branch-and-bound and interior-point algorithm for stochastic mixed-integer nonlinear second-order cone programming.

Autoren: Alioui, Hadjer Alzalg, Baha

Quelle: Communications in Combinatorics & Optimization. Dec2025, Vol. 10 Issue 4, p837-875. 39p.

Schlagwörter: *STOCHASTIC programming, *OPTIMIZATION algorithms, *MIXED integer linear programming, *BRANCH & bound algorithms, *ENGINEERING firms, *INTERIOR-point methods

Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming.

Autoren: Xu, Binbin Liu, Mengqi Zhong, Yilin et al.

Quelle: Energies (19961073). Oct2025, Vol. 18 Issue 20, p5469. 21p.

Schlagwörter: *REACTIVE power, *SEMIDEFINITE programming, *INTEGER programming, *OPERATING costs, *OPTIMIZATION algorithms, *REAL variables, *MATHEMATICAL variables

Profit maximization in congested hub location problems: Demand models and service level constraints.

Autoren: Jalili Marand, Ata Hoseinpour, Pooya

Quelle: Transportation Research Part E: Logistics & Transportation Review. Mar2025, Vol. 195, pN.PAG-N.PAG. 1p.

Schlagwörter: *MIXED integer linear programming, *PROFIT maximization, *PRICES, *NUMERICAL analysis, *INTEGERS, *DEMAND function

Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks.

Autoren: Küçükyavuz, Simge Shojaie, Ali Manzour, Hasan et al.

Quelle: Journal of Machine Learning Research. 2023, Vol. 24, p1-38. 38p.

Schlagwörter: *BAYESIAN analysis, *INTEGER programming, *DIRECTED acyclic graphs, *CONDITIONAL probability, *OPTIMAL stopping (Mathematical statistics), *RANDOM variables

Convexification techniques for fractional programs.

Autoren: He, Taotao Liu, Siyue Tawarmalani, Mohit

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

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

Hydrogen-Based Networked Microgrids Planning Through Two-Stage Stochastic Programming With Mixed-Integer Conic Recourse.

Autoren: Cao, Xiaoyu Sun, Xunhang Xu, Zhanbo et al.

Quelle: IEEE Transactions on Automation Science & Engineering. Oct2022, Vol. 19 Issue 4, p3672-3685. 14p.

Schlagwörter: *STOCHASTIC programming, *MICROGRIDS, *RENEWABLE energy sources, *HYDROGEN as fuel, *ENERGY industries, *ELECTRICAL load

Feature Selection and Grouping Effect Analysis for Credit Evaluation via Regularized Diagonal Distance Metric Learning.

Autoren: Li, Tie Kou, Gang Peng, Yi et al.

Quelle: INFORMS Journal on Computing; Sep/Oct2025, Vol. 37 Issue 5, p1391-1412, 22p

Schlagwörter: FEATURE selection, CREDIT risk, CREDIT analysis, MATHEMATICAL optimization, MATHEMATICAL regularization, NONLINEAR statistical models

Modeling and optimization of natural gas pipeline networks based on the integration of piecewise linearization and McCormick relaxation.

Autoren: Hao, Huiyu Li, Jiaying Ren, Changsheng et al.

Quelle: Chemical Engineering Science. Jan2026:Part C, Vol. 320, pN.PAG-N.PAG. 1p.

Schlagwörter: *NATURAL gas, *MIXED integer linear programming, *PIECEWISE linear approximation, *MATHEMATICAL optimization, *OPTIMIZATION algorithms, *ENERGY consumption, *GAS distribution

Investigating the impact of demand-side flexibility on market-driven generation planning toward a fully decarbonized power system.

Autoren: Wang, Junkai Qiu, Dawei Wang, Yi et al.

Quelle: Energy. Jun2025, Vol. 324, pN.PAG-N.PAG. 1p.

Schlagwörter: *BILEVEL programming, *MIXED integer linear programming, *ENERGY industries, *CARBON emissions, *GREEN marketing

Tight polyhedral approximation for mixed-integer linear programming unit commitment formulations.

Autoren: Jabr, R. A.¹ rabih.jabr@aub.edu.lb

Quelle: IET Generation, Transmission & Distribution (Institution of Engineering & Technology). Nov2012, Vol. 6 Issue 11, p1104-1111. 8p.

Schlagwörter: *MIXED integer linear programming, *POLYHEDRAL functions, *UNIT commitment problem (Electric power systems), *APPROXIMATION theory, *QUADRATIC programming