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Beyond LP and MILP Problems ⊖

2021
This chapter mentions several optimization problems which go beyond linear and mixed integer linear optimization. The focus is rather on motivation. Therefore, it is not intended to cover these topics in complete depth, but the reader should at least be aware that modeling real-world problems is not restricted to linear models.
openaire   +1 more source

Localization of Sources of Brain Activity: A MILP Approach

IEEE Transactions on Magnetics, 2010
The purpose of this work is to propose and test a mixed integer linear programming formulation for the problem of brain source localization. Such technique allows the localization of the minimum number of currents that are able to reconstruct evoked potentials recorded at the scalp.
openaire   +3 more sources

Scheduling satellite launch missions: an MILP approach

Journal of Scheduling, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

MILP Sensitivity Analysis for the Objective Function Coefficients

INFORMS Journal on Optimization, 2023
Lars Relund Nielsen
exaly  

MILP-based local search procedures for minimizing total tardiness in the No-idle Permutation Flowshop Problem

Computers and Operations Research, 2022
Barry O'Sullivan   +2 more
exaly  

An MILP formulation for optimizing detailed schedules of a multiproduct pipeline network

Transportation Research, Part E: Logistics and Transportation Review, 2019
Haihong Chen, Changchun Wu
exaly  

Two-step MILP/MINLP approach for the synthesis of large-scale HENs

Chemical Engineering Science, 2019
Adeniyi Isafiade   +2 more
exaly  

EVA-MILP: Towards Standardized Evaluation of MILP Instance Generation.

CoRR
Yidong Luo   +4 more
openaire   +1 more source

A hybrid MILP/CLP algorithm for multipurpose batch process scheduling

Computers and Chemical Engineering, 2005
Nilay Shah, Lazaros G Papageorgiou
exaly  

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