Network Flow Models for Robust Binary Optimization with Selective Adaptability

M Bodur, TCY Chan, IY Zhu - arXiv preprint arXiv:2403.19471, 2024 - arxiv.org
Adaptive robust optimization problems have received significant attention in recent years,
but remain notoriously difficult to solve when recourse decisions are discrete in nature. In …

Two-stage facility location problems with restricted recourse

E Koca, N Noyan, H Yaman - IISE Transactions, 2021 - Taylor & Francis
We introduce a new class of two-stage stochastic uncapacitated facility location problems
under system nervousness considerations. The location and allocation decisions are made …

Mixed-integer programming approaches for the tree -spanner problem

E Álvarez-Miranda, M Sinnl - Optimization Letters, 2019 - Springer
The tree t^* t∗-spanner problem is an NP-hard problem, which is concerned with finding a
spanning tree in a given undirected weighted graph, such that for each pair of nodes the …

An integrated project to enterprise-level decision-making framework for prioritization of accelerated bridge construction

A Alipour, DD Gransberg, N Zhang - 2018 - rosap.ntl.bts.gov
Accelerated bridge construction (ABC) techniques are rapidly gaining acceptance as an
alternative to conventional construction to reduce construction duration and minimize the …

Robust Facility Location

F Saldanha-da-Gama, S Wang - Facility Location Under Uncertainty …, 2024 - Springer
This chapter discusses different possibilities for modeling and solving robust discrete facility
location problems. Initially, a finite uncertainty set is assumed. Several concepts are …

Facility Location Problems with Multiple Objectives and Decision Criteria: A Review of Current Trends in Research

J Arango, CA Vega-Mejía, JF Jiménez - International Conference on …, 2022 - Springer
A significant amount of academic material has been developed for Facility Location
Problems (FLPs), allowing new approaches for solving and applying them in real-world …

Inverse and Robust Models for Optimization with Objective Uncertainty

IY Zhu - 2023 - search.proquest.com
Optimization models have become a cornerstone of the operations research and
prescriptive analytics community. In practice, model parameters are seldom known with …

Optimum location and amount of new Fire Stations based on Geographic Information System and Analytic Hierarchy Methods

C D'brot, W Bravo, V Arana - 2019 Congreso Internacional de …, 2019 - ieeexplore.ieee.org
In this study the Geographic Information System (GIS) method and the Analytical
Hierarchical Process (AHP) are combined in order to present a methodology for locating fire …

La Teoría de Localización.

E Fernández - Gaceta de la Real Sociedad Matematica …, 2022 - search.ebscohost.com
The article discusses how Location Theory studies optimization problems to determine
points that satisfy conditions with the works of Pierre de Fermat, Bonaventura Cavalieri, and …

Robust Maximal Covering Location Models Considering Partial Coverage

B Köksal - 2023 - open.metu.edu.tr
Maximal Coverage Location Problem (MCLP) attempts to find a predetermined number of
facilities to maximize the number of demand points that can be covered. In MCLP, while all …