Results 21 to 30 of about 89 (86)
A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization
Bilevel optimization is a field of mathematical programming in which some variables are constrained to be the solution of another optimization problem. As a consequence, bilevel optimization is able to model hierarchical decision processes.
Thomas Kleinert +3 more
doaj +1 more source
Sufficient pruning conditions for MINLP in gas network design
One-quarter of Europe’s energy demand is provided by natural gas distributed through a vast pipeline network covering the whole of Europe. At a cost of 1 million Euros per kilometer the extension of the European pipeline network is already a multi ...
Jesco Humpola, Felipe Serrano
doaj +1 more source
The summed start-up costs in a unit commitment problem
We consider the sum of the incurred start-up costs of a single unit in a Unit Commitment problem. Our major result is a correspondence between the facets of its epigraph and some binary trees for concave start-up cost functions CU, which is bijective if ...
René Brandenberg +2 more
doaj +1 more source
Portfolio selection, Downside risk, DC programming, DCA, Branch-and-Bound, 90C11, 90C26, 91B28,
Moeini, Mahdi +5 more
core +1 more source
Integer programming, Lagrangean relaxation, column generation, 90C11, 90-02,
Monique Guignard
core +1 more source
Towards optimizing the deployment of optical access networks
In this paper we study the cost-optimal deployment of optical access networks considering variants of the problem such as fiber to the home (FTTH), fiber to the building (FTTB), fiber to the curb (FTTC), or fiber to the neighborhood (FTTN).
Martin Grötschel +2 more
doaj +1 more source
An elementary, but fundamental, operation in disjunctive programming is a basic step, which is the intersection of two disjunctions to form a new disjunction.
DimitriJ. Papageorgiou +1 more
doaj +1 more source
Mathematical programming and electricity markets
Electric power, competitive markets, large-scale optimization, mixed-integer optimization, 90B30, 90C06, 90C11, 91B26,
Francisco Prieto +3 more
core +1 more source
Multistage stochastic mixed 0–1 programming, Branch-and-fix coordination, Nonanticipativity constraints, Twin node family, Scenario-clustering, Branch and node selection, 90C11, 90C15,
Araceli Garín +4 more
core +1 more source
Speeding up column generation for robust wireless network planning
The wireless network planning problem consists of base station placement and traffic node assignment to base stations. To incorporate traffic demand uncertainties, we follow the Γ-robustness approach by Bertsimas and Sim.
Grit Claßen +2 more
doaj +1 more source

