Polyhedral approaches to mixed integer linear programming
, 2010 This survey presents tools from polyhedral theory that are used in integer programming. It applies them to the study of valid inequalities for mixed integer linear sets, such as Gomory's mixed integer ...
CONFORTI, MICHELANGELO +2 more
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Learning regime‐dependent governing equations: A symbolic decision tree approach
AIChE Journal, EarlyView.Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
An integer programming model to assign patients based on mental health impact for tele-psychotherapy intervention during the Covid-19 emergency. [PDF]
Health Care Manag Sci, 2021 Miniguano-Trujillo A +4 more
europepmc +2 more sources
Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers' food program in Brazil. [PDF]
BMC Nutr, 2023 Padovan M +5 more
europepmc +1 more source
Approximation in stochastic integer programming [PDF]
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate ...
Vlerk, Maarten H. van der, Stougie, Leen
core
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Vitamin D Food Fortification Strategies on Population-Based Dietary Intake Data Using Mixed-Integer Programming. [PDF]
Foods, 2023 Sengupta S +3 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Complexity of linear relaxations in integer programming. [PDF]
Math Program, 2022 Averkov G, Schymura M.
europepmc +1 more source
New variants of variable neighbourhood search for 0-1 mixed integer programming and clustering [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Many real-world optimisation problems are discrete in nature.
Lazić, Jasmina
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