Suchergebnisse - "mixed binary programming"
-
1
New optimization models for optimal classification trees
ISSN: 0305-0548, 1873-765XVeröffentlicht: Elsevier Ltd 01.04.2024Veröffentlicht in Computers & operations research (01.04.2024)“… The most efficient state-of-the-art methods to build classification trees are greedy heuristics (e.g. CART) that may fail to find underlying characteristics in …”
Volltext
Journal Article -
2
Bi-objective optimisation over a set of convex sub-problems
ISSN: 0254-5330, 1572-9338Veröffentlicht: New York Springer US 01.12.2022Veröffentlicht in Annals of operations research (01.12.2022)“… During the last decades, research in multi-objective optimisation has seen considerable growth. However, this activity has been focused on linear, non-linear, …”
Volltext
Journal Article -
3
Multistage Transmission Expansion Planning Considering Fixed Series Compensation Allocation
ISSN: 0885-8950, 1558-0679Veröffentlicht: IEEE 01.11.2013Veröffentlicht in IEEE transactions on power systems (01.11.2013)“… cost compared with planning without FSCs. This problem is modeled as a linear mixed binary programming problem and is solved by a commercial branch-and-cut solver to obtain the optimum solution …”
Volltext
Journal Article -
4
Optimizing Network Flows with Congestion-Based Flow Reductions
ISSN: 1566-113X, 1572-9427Veröffentlicht: Boston Springer US 01.09.2013Veröffentlicht in Networks and spatial economics (01.09.2013)“… When optimizing traffic systems using time-expanded network flow models, traffic congestion is an important consideration because it can decrease both the …”
Volltext
Journal Article -
5
Bayesian Stopping Rules for Greedy Randomized Procedures
ISSN: 0925-5001, 1573-2916Veröffentlicht: Dordrecht Springer Nature B.V 01.11.2006Veröffentlicht in Journal of global optimization (01.11.2006)“… A greedy randomized adaptive search procedure (GRASP) is proposed for the approximate solution of general mixed binary programming problems (MBP …”
Volltext
Journal Article -
6
Long-term scheduling in underground coal mining using mixed binary programming
ISBN: 1392787076, 9781392787076Veröffentlicht: ProQuest Dissertations & Theses 01.01.1989“… Recognizing the complexity of coal mining management, e.g., the scarcity of financial resources and the high level of uncertainty, a mixed binary programming …”
Volltext
Dissertation -
7
Stochastic red-blue set covering: a decomposition approach
ISSN: 0925-5001, 1573-2916Veröffentlicht: New York Springer US 01.04.2025Veröffentlicht in Journal of global optimization (01.04.2025)“… This work presents the two-stage stochastic red-blue set covering problem (2S-SRBSC). The red-blue set covering problem (RBSC) selects a subcollection of sets …”
Volltext
Journal Article -
8
Multistage transmission expansion planning considering fixed series compensation allocation
ISSN: 1932-5517Veröffentlicht: IEEE 01.07.2014Veröffentlicht in Proceedings / IEEE Power Engineering Society General Meeting (01.07.2014)“… cost compared with planning without FSCs. This problem is modeled as a linear mixed binary programming problem and is solved by a commercial branch-and-cut solver to obtain the optimum solution …”
Volltext
Tagungsbericht -
9
The long-term mine production scheduling problem
ISSN: 0740-817X, 2472-5854, 1545-8830, 2472-5862Veröffentlicht: Norcross Taylor & Francis Group 01.02.2005Veröffentlicht in IIE transactions (01.02.2005)“… sections of a mine, in this paper, we develop a mixed-binary programming model as an aid for generating …”
Volltext
Journal Article -
10
Efficient identification of Wiener systems using a combination of atomic norm minimization and interval matrix properties
Veröffentlicht: IEEE 01.12.2015Veröffentlicht in 2015 54th IEEE Conference on Decision and Control (CDC) (01.12.2015)“… Semi-Definite Programs. To circumvent this difficulty, in this paper we present an alternative, based on a combining properties of interval matrices with atomic norm minimization and mixed binary programming …”
Volltext
Tagungsbericht -
11
Aggregate Capacitated Lot-Size Scheduling for a Class of Flexible Machining and Assembly Systems
ISSN: 0740-817X, 2472-5854, 1545-8830, 2472-5862Veröffentlicht: Norcross Taylor & Francis Group 01.09.1991Veröffentlicht in IIE transactions (01.09.1991)“… Three different approaches for efficiently solving the resulting mixed binary programming problem are presented and discussed …”
Volltext
Journal Article

