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Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

European journal of operational research, 2020-12, Vol.287 (3), p.787-819

2020

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Opportunities and challenges in sustainable supply chain: An operations research perspective

European journal of operational research, 2018-07, Vol.268 (2), p.399-431

2018

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Resource constrained routing and scheduling: Review and research prospects

European journal of operational research, 2017-12, Vol.263 (3), p.737-754

2017

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The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions

European journal of operational research, 2023-11, Vol.310 (3), p.943-973

2023

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Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece

European journal of operational research, 2021-06, Vol.291 (2), p.794-806

2021

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Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

European journal of operational research, 2022-01, Vol.296 (2), p.393-422

2022

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Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty

European journal of operational research, 2021-07, Vol.292 (1), p.1-26

2021

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Metaheuristics “In the Large”

European journal of operational research, 2022-03, Vol.297 (2), p.393-406

2022

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Routing a mix of conventional, plug-in hybrid, and electric vehicles

European journal of operational research, 2019-01, Vol.272 (1), p.235-248

2019

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A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

European journal of operational research, 2022-07, Vol.300 (2), p.418-427

2022

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Modelling and optimisation in European Kidney Exchange Programmes

European journal of operational research, 2021-06, Vol.291 (2), p.447-456

2021

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Uncertainty in maritime ship routing and scheduling: A Literature review

European journal of operational research, 2023-07, Vol.308 (2), p.499-524

2023

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The flexible job shop scheduling problem: A review

European journal of operational research, 2024-04, Vol.314 (2), p.409-432

2024

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Performance indicators in multiobjective optimization

European journal of operational research, 2021-07, Vol.292 (2), p.397-422

2021

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Efficient approximation algorithms for scheduling moldable tasks

European journal of operational research, 2023-10, Vol.310 (1), p.71-83

2023

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Mathematical formulations for scheduling jobs on identical parallel machines with family setup times and total weighted completion time minimization

European journal of operational research, 2021-03, Vol.289 (3), p.825-840

2021

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Structured learning based heuristics to solve the single machine scheduling problem with release times and sum of completion times

European journal of operational research, 2023-03, Vol.305 (3), p.1032-1041

2023

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Application of quantum approximate optimization algorithm to job shop scheduling problem

European journal of operational research, 2023-10, Vol.310 (2), p.518-528

2023

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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

European journal of operational research, 2018-09, Vol.269 (2), p.760-772

2018

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The two-echelon stochastic multi-period capacitated location-routing problem

European journal of operational research, 2023-04, Vol.306 (2), p.645-667

2023

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A review on discrete diversity and dispersion maximization from an OR perspective

European journal of operational research, 2022-06, Vol.299 (3), p.795-813

2022

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Regression and Kriging metamodels with their experimental designs in simulation: A review

European journal of operational research, 2017-01, Vol.256 (1), p.1-16

Kleijnen, Jack P.C.

2017

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Deep reinforcement learning for inventory control: A roadmap

European journal of operational research, 2022-04, Vol.298 (2), p.401-412

2022

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Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data

European journal of operational research, 2023-12, Vol.311 (2), p.708-729

2023

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Exact solutions for the two-machine robust flow shop with budgeted uncertainty

European journal of operational research, 2022-07, Vol.300 (1), p.46-57

2022

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Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

Opportunities and challenges in sustainable supply chain: An operations research perspective

Resource constrained routing and scheduling: Review and research prospects

The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions

Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece

Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty

Metaheuristics “In the Large”

Routing a mix of conventional, plug-in hybrid, and electric vehicles

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

Modelling and optimisation in European Kidney Exchange Programmes

Uncertainty in maritime ship routing and scheduling: A Literature review

The flexible job shop scheduling problem: A review

Performance indicators in multiobjective optimization

Efficient approximation algorithms for scheduling moldable tasks

Mathematical formulations for scheduling jobs on identical parallel machines with family setup times and total weighted completion time minimization

Structured learning based heuristics to solve the single machine scheduling problem with release times and sum of completion times

Application of quantum approximate optimization algorithm to job shop scheduling problem

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

The two-echelon stochastic multi-period capacitated location-routing problem

A review on discrete diversity and dispersion maximization from an OR perspective

Regression and Kriging metamodels with their experimental designs in simulation: A review

Deep reinforcement learning for inventory control: A roadmap

Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data

Exact solutions for the two-machine robust flow shop with budgeted uncertainty

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