Our Publications
Below you will find the ever-expanding list of peer-reviewed journal papers, conference papers, and PhD theses where Connolly Editorial or Luke Connolly is credited by name for providing editorial consultation.
In each of these publications guidance and editorial input was provided at all stages of the writing and publication process: initial brainstorming, drafting, refinement, pre-submission checks, responding to peer reviewers, and checking any post-submission alterations.
Journal Papers
Efficient Use of Collision detection for Volume Maximization Problems (2024)
The Constrained Bottleneck Spanning Tree Problem with Upgrades (2024)
The Exam Location Problem: Mathematical Formulations and Variants (2024)
Generating Balanced Workload Allocations in Hospitals (2023)
Optimizing Workforce Allocation Under Uncertain Activity Duration (2023)
An Algorithm for Generating a Diverse Set of Multi-Modal Journeys (2022)
Truck Driver Scheduling with Interdependent Routes and Working Time Constraints (2022)
Cargo Securing Under Multi-Drop and Axle Weight Constraints (2022)
The Vessel Swap-Body Routing Problem (2022)
Scheduling Truck Drivers with Interdependent Routes Under European Union Regulations (2022)
Vehicle Substitution in Heterogeneous Round-Trip Carsharing systems (2021)
The Impact of Loading Restrictions on the Two-Echelon Location Routing Problem (2021)
Quantifying and Enforcing Robustness in Staff Rostering (2021)
The Tactical Berth Allocation Problem with Time-Variant Specific Quay Crane Assignments (2021)
Preprocessing and Cutting Planes with Conflict Graphs (2021)
Extracting Maximal Objects from Three-Dimensional Solid Materials (2021)
Behind-the-Scenes Weight Tuning for Applied Nurse Rostering (2020)
An Automatic Constructive Matheuristic for the Shift Minimization Personnel Task Scheduling Problem (2020)
A Periodic Optimization Approach to Dynamic Pickup and Delivery Problems with Time Windows (2020)
Truck Scheduling in Tank Terminals (2020)
Demand Smoothing in Shift Design (2020)
Slack Induction by String Removals for Vehicle Routing Problems (2020)
Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches (2019)
Heuristics for Vehicle Routing Problems: Sequence or Set Optimization? (2019)
Strategic Room Type Allocation for Nursing Wards Through Markov Chain Modeling (2019)
Dispatch and Conflict-Free Routing of Capacitated Vehicles with Storage Stack Allocation (2019)
Compatibility of Short and Long Term Objectives for Dynamic Patient Admission Scheduling (2019)
The Nurse Rerostering Problem: Strategies for Reconstructing Disrupted Schedules (2019)
Flexible Home Care Scheduling (2019)
Ride Sharing with Flexible Participants: A Metaheuristic Approach for Large‐Scale Problems (2019)
Crane-Operated Warehouses: Integrating Location Assignment and Crane Scheduling (2019)
The Berth Allocation Problem in Terminals with Irregular Layouts (2019)
Alternative E‑Commerce Delivery Policies (2019)
Analysis of a Constructive Matheuristic for the Traveling Umpire Problem (2018)
Stochastic Local Search with Learning Automaton for the Swap-Body Vehicle Routing Problem (2018)
Multi-Machine Energy-Aware Scheduling (2017)
On Horizontal Dynamic Effects on Palletized Goods During Road Transport (2017)
The Sport Teams Grouping Problem (2017)
Heuristic Decomposition Approaches for an Integrated Task Scheduling and Personnel Rostering Problem (2016)
Local and Global Constraint Consistency in Personnel Rostering (2016)
Analysis of Stochastic Local Search Methods for the Unrelated Parallel Machine Scheduling Problem (2016)
Conference Papers
The Integrated Healthcare Timetabling Competition 2024: Problem Description and Rules (2024)
Multi-Depot Periodic Vehicle Routing with Variable Visit Patterns (2022)
Neighborhood Enumeration in Local Search Metaheuristics (2021)
A Heuristic Approach to Feasibility Verification for Truck Loading (2021)
Efficient Duration-Based Workload Balancing for Interdependent Vehicle Routes (2021)
Production Scheduling with Stock- and Staff-Related Restrictions (2021)
Algorithms for the Design of Round-Trip Carsharing Systems with a Heterogeneous Fleet (2021)
Robustness of Periodic Reoptimization Policies for the Dynamic PDPTW (2020)
Machine-Personnel Assignment with Training and Interim Worker Requirements (2020)
A Constructive Matheuristic Approach for the Vertex Colouring Problem (2020)
Multithreaded Incremental Solving for Local Search Based Heuristics with Step Chasing (2020)
The Video Sequencing Problem (2019)
Feature-Based Tuning of a Tactical Berth Allocation Heuristic (2019)
Constraint Reformulation for Nurse Rostering Problems (2018)
Large Neighbourhood Search for Large-Scale Shift Assignment Problems with Multiple Tasks (2016)
Grouping Sport Teams into Round Robin Competitions (2016)
Simulation and Optimization for Ship Lock Scheduling: A Case Study (2016)
PhD Theses
Algorithms to solve 2D and 3D Irregular Cutting and Packing Problems using a Semi-discrete Representation.
Dr. Sahar Chehrazad (2024)
Monte Carlo Tree Search and Instance Space Analysis for the 0-1 Knapsack Problem.
Dr. Jorik Jooken (2023)
Efficient Algorithms for Driver Scheduling with Interdependent Routes.
Dr. Carlo Sulzback Sartori (2023)
Optimization Algorithms for Vehicle Routing Problems with Multiple Decision Levels.
Dr. Vinicius Gandra Martins Santos (2023)
Integrated Yard Management Optimisation.
Dr. Emmanouil Thanos (2022)
Addressing Real-World Challenges in Nurse Rostering.
Dr. Elin Bjørk Bodvarsdottir (2021)
Solving Vehicle Routing Problems.
Dr. Jan Christiaens (2021)
Constructive Matheuristics for Combinatorial Optimization Problems.
Dr. Reshma Chirayil Chandrasekharan (2021)
Algorithms for Solving 3D Cutting and Packing Problems with Real-World Constraints.
Dr. Everton Fernandes da Silva (2020)
Personalized Decision Support Models.
Dr. Federico Mosquera Nuñez (2020)
Personnel Rostering: Models and Algorithms for Scheduling, Rescheduling and Ensuring Robustness.
Dr. Toni Wickert (2019)
Decomposition-Based Algorithms for Optimization Problems.
Dr. Túlio Toffolo (2017)
The Lock Scheduling Problem.
Dr. Jannes Verstichel (2013)
Intelligent Hyper-Heuristics: A Tool for Solving Generic Optimisation Problems.
Dr. Mustafa Misir (2012)