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Tracking and outperforming large stock-market indices

Omega (Oxford), 2020-01, Vol.90, p.101999, Article 101999

2020

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A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019, p.611-614

2019

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A Continuous-Time Unit-Based MILP Formulation for the Resource-Constrained Project Scheduling Problem

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018, p.432-436

2018

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A Continuous-Time MILP Formulation for the Multi-Mode Resource-Constrained Project Scheduling Problem

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2018, p.452-456

2018

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Global Pricing and Feasible Directions in Linear Programming

OPERATIONS RESEARCH PROCEEDINGS 2021, 2022, p.160-166

2022

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Nasal Obstruction in Newborns

The Pediatric clinics of North America, 2013-08, Vol.60 (4), p.903-922

2013

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The Balanced Maximally Diverse Grouping Problem with Attribute Values and Varying Group Sizes

Operations Research Proceedings 2021, p.148-153

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An a-priori Parameter Selection Approach to Enhance the Performance of Genetic Algorithms Solving Pickup and Delivery Problems

Operations Research Proceedings 2021, p.66-72

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Scheduling Projects with Converging and Diverging Material Flows Using IBM ILOG CP Optimizer—An Experimental Performance Analysis

Operations Research Proceedings 2021, p.341-346

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Tracking and outperforming large stock-market indices

A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem

A Continuous-Time Unit-Based MILP Formulation for the Resource-Constrained Project Scheduling Problem

A Continuous-Time MILP Formulation for the Multi-Mode Resource-Constrained Project Scheduling Problem

Global Pricing and Feasible Directions in Linear Programming

Nasal Obstruction in Newborns

The Balanced Maximally Diverse Grouping Problem with Attribute Values and Varying Group Sizes

An a-priori Parameter Selection Approach to Enhance the Performance of Genetic Algorithms Solving Pickup and Delivery Problems

ULD Build-Up Scheduling with Dynamic Batching in an Air Freight Hub

Optimal Line Plans in the Parametric City and the Impact of In-Motion Costs

Strategic Road Safety Dashboard: Visualizing Results of Accident Data Mining

Optimal Trading of Flexible Power Consumption on the Day-Ahead Market

A Semidefinite Approach for the Single Row Facility Layout Problem

Robust Optimization with Scenarios Using Belief Functions

Rebalancing in Shared Mobility Systems – Competition, Feature-Based Mode Selection and Technology Choice

The Picking and Packing Problem in Buy-Online-Pick-up-in-Store Retailing

Optimal Line Planning in the Parametric City

Integrated Service- and Charge-Scheduling for Electric Commercial Vehicles

Scheduling Projects with Converging and Diverging Material Flows Using IBM ILOG CP Optimizer—An Experimental Performance Analysis

Disassembly Line Balancing with Collaborative Robots

Artificial Intelligence-Based Decision Support in Laboratory Diagnostics

Optimization of the Patient Flow in a Forensic Psychiatric Hospital with Discrete Event Simulation

Classifying Ready-for-Transfer Patients in the Intensive Care Unit Based on Clinical Data

Scheduling Heating Tasks on Parallel Furnaces with Setup Times and Conflicts

Machine Learning Constructives and Local Searches for the Travelling Salesman Problem

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