[HTML][HTML] A branch-and-price approach for the continuous multifacility monotone ordered median problem
In this paper, we address the Continuous Multifacility Monotone Ordered Median Problem.
The goal of this problem is to locate p facilities in R d minimizing a monotone ordered …
The goal of this problem is to locate p facilities in R d minimizing a monotone ordered …
Estimating the size of branch-and-bound trees
G Hendel, D Anderson, P Le Bodic… - INFORMS Journal on …, 2022 - pubsonline.informs.org
This paper investigates the problem of estimating the size of branch-and-bound (B&B) trees
for solving mixed-integer programs. We first prove that the size of the B&B tree cannot be …
for solving mixed-integer programs. We first prove that the size of the B&B tree cannot be …
Sustainable cooling cycles by algorithmically supported design of decentral pump systems
TM Müller, J Neumann, MM Meck, PF Pelz - Applied Thermal Engineering, 2022 - Elsevier
Accounting for up to 25% of electricity consumption in industry, pump systems are significant
electricity consumers. Designing pump systems is a complex process because of the …
electricity consumers. Designing pump systems is a complex process because of the …
Solving ac optimal power flow with discrete decisions to global optimality
We present a solution framework for general alternating current optimal power flow (AC
OPF) problems that include discrete decisions. The latter occur, for instance, in the context of …
OPF) problems that include discrete decisions. The latter occur, for instance, in the context of …
An ILP-based Approach for Dual-Layer Optimization in Large-Scale Optical Networks
We consider a dual-layer network design problem in the optical network with optical-
electrical-optical (OEO) converters. Due to the high price of OEO converters, we aim at …
electrical-optical (OEO) converters. Due to the high price of OEO converters, we aim at …
Data-driven distributionally robust optimization over time
Stochastic optimization (SO) is a classical approach for optimization under uncertainty that
typically requires knowledge about the probability distribution of uncertain parameters …
typically requires knowledge about the probability distribution of uncertain parameters …