| 2026 | PPSN | A Generator for Creating Streaming Continuous Optimisation Benchmarks. | Mate Botond Nemeth, Emma Hart, Kevin Sim, Quentin Renau |
| 2025 | FOGA | Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances. | Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart |
| 2025 | GECCO | Class Incremental Learning for Algorithm Selection. | Mate Botond Nemeth, Emma Hart, Kevin Sim, Quentin Renau |
| 2025 | NCA | Distributed Resource Selection for Self-Organising Cloud-Edge Systems. | Quentin Renau, Amjad Ullah, Emma Hart |
| 2024 | GECCO | Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. | Leni K. Le Goff, Emma Hart |
| 2024 | GECCO | Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. | Alejandro Marrero, Eduardo Segredo, Coromoto Len, Emma Hart |
| 2024 | GECCO | Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. | Quentin Renau, Johann Dro, Emma Hart |
| 2024 | GECCO | Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. | Quentin Renau, Emma Hart |
| 2024 | GECCO | Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. | Sarah L. Thomson, Lni K. Le Goff, Emma Hart, Edgar Buchanan |
| 2024 | Interspeech | Automated Human-Readable Label Generation in Open Intent Discovery. | Grant Anderson, Emma Hart, Dimitra Gkatzia, Ian Beaver |
| 2024 | PPSN | Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. | Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa |
| 2024 | PPSN | Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. | Quentin Renau, Emma Hart |
| 2024 | SIGdial | An Open Intent Discovery Evaluation Framework. | Grant Anderson, Emma Hart, Dimitra Gkatzia, Ian Beaver |
| 2023 | GECCO | A Feature-Free Approach to Automated Algorithm Selection. | Mohamad Alissa, Kevin Sim, Emma Hart |
| 2023 | GECCO | Towards optimisers that 'Keep Learning'. | Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau |
| 2023 | GECCO | Learning-Based Neural Ant Colony Optimization. | Yi Liu, Jiang Qiu, Emma Hart, Yilan Yu, Zhongxue Gan, Wei Li |
| 2023 | GECCO | Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. | Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann |
| 2023 | GECCO | Evolving Herding Behaviour Diversity in Robot Swarms. | Geoff Nitschke, Scott Hallauer, Emma Hart |
| 2022 | GECCO | The diversity-accuracy duality in ensembles of classifiers. | Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt |
| 2022 | PPSN | A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. | Alejandro Marrero, Eduardo Segredo, Coromoto Len, Emma Hart |
| 2022 | PPSN | Evolutionary Approaches to Improving the Layouts of Instance-Spaces. | Kevin Sim, Emma Hart |
| 2021 | CEC | A Neural Approach to Generation of Constructive Heuristics. | Mohamad Alissa, Kevin Sim, Emma Hart |
| 2021 | GECCO | Using novelty search to explicitly create diversity in ensembles of classifiers. | Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt |
| 2021 | GECCO | On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme. | Lni K. Le Goff, Emma Hart |
| 2020 | CEC | Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. | Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart |
| 2020 | GECCO | A deep learning approach to predicting solutions in streaming optimisation domains. | Mohamad Alissa, Kevin Sim, Emma Hart |
| 2020 | GECCO | Diversity-driven wide learning for training distributed classification models. | Rui P. Cardoso, Emma Hart, Jeremy V. Pitt |
| 2020 | GECCO | If it evolves it needs to learn. | A. E. Eiben, Emma Hart |
| 2020 | INLG | Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. | Nikolaos Panagiaris, Emma Hart, Dimitra Gkatzia |
| 2019 | GECCO | Algorithm selection using deep learning without feature extraction. | Mohamad Alissa, Kevin Sim, Emma Hart |
| 2019 | GECCO | Evolving robust policies for community energy system management. | Rui P. Cardoso, Emma Hart, Jeremy V. Pitt |
| 2019 | GECCO | An illumination algorithm approach to solving the micro-depot routing problem. | Neil Urquhart, Silke Hhl, Emma Hart |
| 2019 | GECCO | Comparing encodings for performance and phenotypic exploration in evolving modular robots. | Frank Veenstra, Emma Hart, Edgar Buchanan, Wei Li, Matteo De Carlo, goston E. Eiben |
| 2018 | GECCO | Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm. | Emma Hart, Andreas S. W. Steyven, Ben Paechter |
| 2018 | GECCO | A novel similarity-based mutant vector generation strategy for differential evolution. | Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart |
| 2018 | ISoLA | Engineering Sustainable and Adaptive Systems in Dynamic and Unpredictable Environments. | Rui P. Cardoso, Rosaldo J. F. Rossetti, Emma Hart, David Burth Kurka, Jeremy Pitt |
| 2018 | PPSN | On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. | Christopher Stone, Emma Hart, Ben Paechter |
| 2018 | PPSN | Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites. | Neil Urquhart, Emma Hart |
| 2017 | GECCO | On constructing ensembles for combinatorial optimisation. | Emma Hart, Kevin Sim |
| 2017 | GECCO | A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. | Emma Hart, Kevin Sim, Barry Gardiner, Kana Kamimura |
| 2017 | GECCO | Validation of a learning and evolving robot swarm. | Rasmus Munk, Emma Hart, Ben Paechter |
| 2017 | GECCO | An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. | Andreas Steyven, Emma Hart, Ben Paechter |
| 2017 | KES | Impact of selection methods on the diversity of many-objective Pareto set approximations. | Luis Mart, Eduardo Segredo, Nayat Snchez-Pi, Emma Hart |
| 2016 | CEC | Hybrid parameter control approach applied to a diversity-based multi-objective memetic algorithm for frequency assignment problems. | Eduardo Segredo, Ben Paechter, Emma Hart, Carlos Ignacio Gonzalez-Vila |
| 2016 | GECCO | Women@GECCO 2016 Chairs' Welcome. | Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood |
| 2016 | GECCO | A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization Problems. | Ahmed Salah, Emma Hart |
| 2016 | GECCO | A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem. | Kevin Sim, Emma Hart |
| 2016 | PPSN | Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. | Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Vo, Emma Hart, Ben Paechter |
| 2016 | PPSN | Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. | Andreas Steyven, Emma Hart, Ben Paechter |
| 2015 | GECCO | Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. | Emma Hart, Andreas Steyven, Ben Paechter |
| 2015 | GECCO | Grid Diversity Operator for Some Population-Based Optimization Algorithms. | Ahmed Salah, Emma Hart |
| 2015 | GECCO | A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules. | Kevin Sim, Emma Hart |
| 2015 | GECCO | The Cost of Communication: Environmental Pressure and Survivability in mEDEA. | Andreas Steyven, Emma Hart, Ben Paechter |
| 2015 | GECCO | Multi-Modal Employee Routing with Time Windows in an Urban Environment. | Neil B. Urquhart, Emma Hart, Alistair Judson |
| 2014 | ALIFE | Idiotypic Networks for Evolutionary Controllers in Virtual Creatures. | Nicola Capodieci, Emma Hart, Giacomo Cabri |
| 2014 | GECCO | Artificial immune systems in the context of autonomic computing: integrating design paradigms. | Nicola Capodieci, Emma Hart, Giacomo Cabri |
| 2014 | GECCO | A real-world employee scheduling and routing application. | Emma Hart, Kevin Sim, Neil Urquhart |
| 2014 | GECCO | An improved immune inspired hyper-heuristic for combinatorial optimisation problems. | Kevin Sim, Emma Hart |
| 2014 | PPSN | On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System. | Emma Hart, Kevin Sim |
| 2013 | GECCO | Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model. | Kevin Sim, Emma Hart |
| 2013 | GECCO | Incorporating emissions models within a multi-objectivevehicle routing problem. | Neil Urquhart, Catherine Scott, Emma Hart |
| 2013 | GECCO | Using graphical information systems to improve vehicle routing problem instances. | Neil Urquhart, Catherine Scott, Emma Hart |
| 2012 | PPSN | A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. | Kevin Sim, Emma Hart, Ben Paechter |
| 2010 | CEC | Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm. | Neil Urquhart, Emma Hart, Cathy Scott |
| 2004 | CEC | Hyper-heuristics applied to class and exam timetabling problems. | Peter Ross, Javier G. Marn-Blzquez, Emma Hart |
| 2003 | GECCO | Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. | Peter Ross, Javier G. Marn-Blzquez, Sonia Schulenburg, Emma Hart |
| 2002 | GECCO | Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems. | Peter Ross, Sonia Schulenburg, Javier G. Marn-Blzquez, Emma Hart |
| 2000 | GECCO | Enhancing the Performance of a GA through Visualization. | Emma Hart, Peter Ross |
| 1999 | GECCO | An Immune System Approach to Scheduling in Changing Environments. | Emma Hart, Peter Ross |
| 1998 | PPSN | A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. | Emma Hart, Peter Ross |
| 1998 | PPSN | A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems. | Jonathan Lewis, Emma Hart, Graeme Ritchie |
| 1998 | PPSN | An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. | Peter Ross, Emma Hart |
| 1997 | PATAT | Some Observations about GA-Based Exam Timetabling. | Peter Ross, Emma Hart, David Corne |