Some Observations about GA-Based Exam Timetabling. - Peter Ross; Emma Hart; David Corne (PATAT, 1997)

A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. - Emma Hart; Peter Ross (PPSN, 1998)

A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems. - Jonathan Lewis; Emma Hart; Graeme Ritchie (PPSN, 1998)

An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. - Peter Ross; Emma Hart (PPSN, 1998)

Solving a Real-World Problem Using an Evolving Heuristically Driven Schedule Builder. - Emma Hart; Jeremy A. D. Nelson; Peter Ross (Evol. Comput., 1998)

An Immune System Approach to Scheduling in Changing Environments. - Emma Hart; Peter Ross (GECCO, 1999)

Scheduling chicken catching ‐ An investigationinto the success of a genetic algorithm on areal‐world scheduling problem. - Emma Hart; Peter Ross; Jeremy A. D. Nelson (Ann. Oper. Res., 1999)

A Systematic Investigation of GA Performance on Jop Shop Scheduling Problems. - Emma Hart; Peter Ross (EvoWorkshops, 2000)

Enhancing the Performance of a GA through Visualization. - Emma Hart; Peter Ross (GECCO, 2000)

Clustering Moving Data With a Modified Immune Algorithm. - Emma Hart; Peter Ross (EvoWorkshops, 2001)

GAVEL - a new tool for genetic algorithm visualization. - Emma Hart; Peter Ross (IEEE Trans. Evol. Comput., 2001)

Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems. - Peter Ross; Sonia Schulenburg; Javier G. Marín-Blázquez; Emma Hart (GECCO, 2002)

Immunology as a metaphor for computational information processing : fact or fiction. - Emma Hart (2002)

Hyper-Heuristics: An Emerging Direction in Modern Search Technology. - Edmund K. Burke; Graham Kendall; Jim Newall; Emma Hart; Peter Ross; Sonia Schulenburg (Handbook of Metaheuristics, 2003)

Requirements for Getting a Robot to Grow up. - Peter Ross; Emma Hart; Alistair Lawson; Andrew Webb; Erich Prem; Patrick Poelz; Giovanna Morgavi (ECAL, 2003)

Controlling a Simulated Khepera with an XCS Classifier System with Memory. - Andrew Webb; Emma Hart; Peter Ross; Alistair Lawson (ECAL, 2003)

Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. - Peter Ross; Javier G. Marín-Blázquez; Sonia Schulenburg; Emma Hart (GECCO, 2003)

Improving SOSDM: Inspirations from the Danger Theory. - Emma Hart; Peter Ross (ICARIS, 2003)

A Role for Immunology in "Next Generation" Robot Controllers. - Emma Hart; Peter Ross; Andrew Webb; Alistair Lawson (ICARIS, 2003)

Exploiting the Analogy between the Immune System and Sparse Distributed Memories. - Emma Hart; Peter Ross (Genet. Program. Evolvable Mach., 2003)

Hyper-heuristics applied to class and exam timetabling problems. - Peter Ross; Javier G. Marín-Blázquez; Emma Hart (IEEE Congress on Evolutionary Computation, 2004)

Studies on the Implications of Shape-Space Models for Idiotypic Networks. - Emma Hart; Peter Ross (ICARIS, 2004)

Editorial. - Jens Gottlieb; Emma Hart; Martin Middendorf; Günther R. Raidl; Colin Reeves (J. Math. Model. Algorithms, 2004)

Not All Balls Are Round: An Investigation of Alternative Recognition-Region Shapes. - Emma Hart (ICARIS, 2005)

Evolutionary Scheduling: A Review. - Emma Hart; Peter Ross; David Corne (Genet. Program. Evolvable Mach., 2005)

The Impact of the Shape of Antibody Recognition Regions on the Emergence of Idiotypic Networks. - Emma Hart; Peter Ross (Int. J. Unconv. Comput., 2005)

Analysis of a Growth Model for Idiotypic Networks. - Emma Hart (ICARIS, 2006)

Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. - Emma Hart; Hugues Bersini; Francisco C. Santos (ICARIS, 2006)

Immunological inspiration for building a new generation of autonomic systems. - Emma Hart; Despina Davoudani; Chris McEwan (Autonomics, 2007)

An Immune-Inspired Approach to Speckled Computing. - Despina Davoudani; Emma Hart; Ben Paechter (ICARIS, 2007)

Topological Constraints in the Evolution of Idiotypic Networks. - Emma Hart; Francisco C. Santos; Hugues Bersini (ICARIS, 2007)

Revisiting the Central and Peripheral Immune System. - Chris McEwan; Emma Hart; Ben Paechter (ICARIS, 2007)

Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model. - Despina Davoudani; Emma Hart; Ben Paechter (ICARIS, 2008)

Boosting the Immune System. - Chris McEwan; Emma Hart; Ben Paechter (ICARIS, 2008)

Evaluation and Extension of the AISEC Email Classification System. - Nrupal Prattipati; Emma Hart (ICARIS, 2008)

Immuno-engineering. - Jon Timmis; Emma Hart; Andy Hone; Mark James Neal; Adrian Robins; Susan Stepney; Andy M. Tyrrell (BICC, 2008)

A New Paradigm for SpeckNets: Inspiration from Fungal Colonies. - Ruth Falconer; James Bown; Emma Hart; Jon Timmis (SASO Workshops, 2008)

Application areas of AIS: The past, the present and the future. - Emma Hart; Jon Timmis (Appl. Soft Comput., 2008)

Dendritic Cell Trafficking: From Immunology to Engineering. - Emma Hart; Despina Davoudani (ICARIS, 2009)

On AIRS and Clonal Selection for Machine Learning. - Chris McEwan; Emma Hart (ICARIS, 2009)

Representation in the (Artificial) Immune System. - Chris McEwan; Emma Hart (J. Math. Model. Algorithms, 2009)

Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm. - Neil Urquhart; Emma Hart; Cathy Scott (IEEE Congress on Evolutionary Computation, 2010)

Influence of Topology and Payload on CO2 Optimised Vehicle Routing. - Cathy Scott; Neil Urquhart; Emma Hart (EvoApplications (2), 2010)

Using an Evolutionary Algorithm to Discover Low CO2 Tours within a Travelling Salesman Problem. - Neil Urquhart; Cathy Scott; Emma Hart (EvoApplications (2), 2010)

Towards Self-aware PerAda Systems. - Emma Hart; Ben Paechter (ICARIS, 2010)

Clonal Selection from First Principles. - Chris McEwan; Emma Hart (ICARIS, 2010)

Symbiotic Cognitive Networks: A Proposal. - Tinku Rasheed; Emma Hart; James Bown; Ruth Falconer (ICARIS, 2010)

Special issue on "New Network Paradigms". - Eitan Altman; Tamer Basar; Emma Hart; Daniele Miorandi; Aris L. Moustakas; Stavros Toumpis (Comput. Networks, 2010)

Structure versus function: a topological perspective on immune networks. - Emma Hart; Hugues Bersini; Francisco C. Santos (Nat. Comput., 2010)

Special issue on artificial immune systems. - Jon Timmis; Paul S. Andrews; Emma Hart (Swarm Intell., 2010)

On artificial immune systems and swarm intelligence. - Jon Timmis; Paul S. Andrews; Emma Hart (Swarm Intell., 2010)

An Engineering-Informed Modelling Approach to AIS. - Emma Hart; Despina Davoudani (ICARIS, 2011)

Workshop Preface. - Emma Hart; Giacomo Cabri; Jeremy Pitt (SASO Workshops, 2011)

Artificial Immune Systems (Dagstuhl Seminar 11172). - Emma Hart; Thomas Jansen 001; Jon Timmis (Dagstuhl Reports, 2011)

Advances in artificial immune systems. - Emma Hart; Chris McEwan; Jon Timmis; Andrew Hone (Evol. Intell., 2011)

This Pervasive Day: Creative, Interactive Methods for Encouraging Public Engagement with FET Research. - Ingi Helgason; Jay Bradley; Callum Egan; Ben Paechter; Emma Hart (FET, 2011)

On clonal selection. - Chris McEwan; Emma Hart (Theor. Comput. Sci., 2011)

A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. - Kevin Sim; Emma Hart; Ben Paechter (PPSN (2), 2012)

An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics. - Nicola Capodieci; Emma Hart; Giacomo Cabri (ECAL, 2013)

On the Role of the AIS Practitioner. - Emma Hart; Mark Read 001; Chris McEwan; Uwe Aickelin; Julie Greensmith (ECAL, 2013)

Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic. - Kevin Sim; Emma Hart; Ben Paechter (ECAL, 2013)

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 (GECCO, 2013)

Incorporating emissions models within a multi-objectivevehicle routing problem. - Neil Urquhart; Catherine Scott; Emma Hart (GECCO (Companion), 2013)

Using graphical information systems to improve vehicle routing problem instances. - Neil Urquhart; Catherine Scott; Emma Hart (GECCO (Companion), 2013)

Designing Self-Aware Adaptive Systems: From Autonomic Computing to Cognitive Immune Networks. - Nicola Capodieci; Emma Hart; Giacomo Cabri (SASO Workshops, 2013)

Idiotypic Networks for Evolutionary Controllers in Virtual Creatures. - Nicola Capodieci; Emma Hart; Giacomo Cabri (ALIFE, 2014)

Artificial immune systems in the context of autonomic computing: integrating design paradigms. - Nicola Capodieci; Emma Hart; Giacomo Cabri (GECCO (Companion), 2014)

A real-world employee scheduling and routing application. - Emma Hart; Kevin Sim; Neil Urquhart (GECCO (Companion), 2014)

An improved immune inspired hyper-heuristic for combinatorial optimisation problems. - Kevin Sim; Emma Hart (GECCO, 2014)

On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System. - Emma Hart; Kevin Sim (PPSN, 2014)

2nd FOCAS Workshop on Fundamentals of Collective Adaptive Systems. - Giacomo Cabri; Emma Hart (SASO Workshops, 2014)

Artificial Immune System Driven Evolution in Swarm Chemistry. - Nicola Capodieci; Emma Hart; Giacomo Cabri (SASO, 2014)

Collaborative Diffusion on the GPU for Path-Finding in Games. - Craig McMillan; Emma Hart; Kevin Chalmers (EvoApplications, 2015)

Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. - Emma Hart; Andreas Steyven; Ben Paechter (GECCO, 2015)

Grid Diversity Operator for Some Population-Based Optimization Algorithms. - Ahmed Salah; Emma Hart (GECCO (Companion), 2015)

A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules. - Kevin Sim; Emma Hart (GECCO (Companion), 2015)

The Cost of Communication: Environmental Pressure and Survivability in mEDEA. - Andreas Steyven; Emma Hart; Ben Paechter (GECCO (Companion), 2015)

Multi-Modal Employee Routing with Time Windows in an Urban Environment. - Neil B. Urquhart; Emma Hart; Alistair Judson (GECCO (Companion), 2015)

A Lifelong Learning Hyper-heuristic Method for Bin Packing. - Kevin Sim; Emma Hart; Ben Paechter (Evol. Comput., 2015)

Introduction to the Special Issue on Collective Adaptive Systems. - Giacomo Cabri; Emma Hart (Scalable Comput. Pract. Exp., 2015)

A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation. - Eduardo Segredo; Carlos Segura; Coromoto León; Emma Hart (Soft Comput., 2015)

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 (CEC, 2016)

Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms. - Ahmed Salah; Emma Hart; Kevin Sim (EvoApplications (2), 2016)

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 (GECCO (Companion), 2016)

A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization Problems. - Ahmed Salah; Emma Hart (GECCO (Companion), 2016)

A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem. - Kevin Sim; Emma Hart (GECCO, 2016)

Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation. - Eduardo Segredo; Eduardo Lalla-Ruiz; Emma Hart; Ben Paechter; Stefan Voß 001 (LION, 2016)

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. - Eduardo Lalla-Ruiz; Eduardo Segredo; Stefan Voß 001; Emma Hart; Ben Paechter (PPSN, 2016)

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. - Andreas Steyven; Emma Hart; Ben Paechter (PPSN, 2016)

A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling. - Emma Hart; Kevin Sim (Evol. Comput., 2016)

Artificial Immunology for Collective Adaptive Systems Design and Implementation. - Nicola Capodieci; Emma Hart; Giacomo Cabri (ACM Trans. Auton. Adapt. Syst., 2016)

Emergence of hierarchy from the evolution of individual influence in an agent-based model. - Cedric Perret; Simon T. Powers; Emma Hart (ECAL, 2017)

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 (GECCO, 2017)

Validation of a learning and evolving robot swarm. - Rasmus Munk; Emma Hart; Ben Paechter (GECCO (Companion), 2017)

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. - Andreas Steyven; Emma Hart; Ben Paechter (GECCO, 2017)

Impact of selection methods on the diversity of many-objective Pareto set approximations. - Luis Martí; Eduardo Segredo; Nayat Sánchez-Pi; Emma Hart (KES, 2017)

For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems. - Jeremy Pitt; Emma Hart (FAS*W@SASO/ICCAC, 2017)

Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems. - Wenjian Luo; Emma Hart; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs. - Christopher Stone 001; Emma Hart; Ben Paechter (EvoApplications, 2018)

Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm. - Emma Hart; Andreas S. W. Steyven; Ben Paechter (GECCO, 2018)

A novel similarity-based mutant vector generation strategy for differential evolution. - Eduardo Segredo; Eduardo Lalla-Ruiz; Emma Hart (GECCO, 2018)

Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. - Cedric Perret; Simon T. Powers; Jeremy Pitt; Emma Hart (ALIFE, 2018)

Engineering Sustainable and Adaptive Systems in Dynamic and Unpredictable Environments. - Rui P. Cardoso; Rosaldo J. F. Rossetti; Emma Hart; David Burth Kurka; Jeremy Pitt (ISoLA (3), 2018)

On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. - Christopher Stone 001; Emma Hart; Ben Paechter (PPSN (1), 2018)

Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites. - Neil Urquhart; Emma Hart (PPSN (1), 2018)

Relevant Expertise Aggregation for Policy Selection in Collective Adaptive Systems. - Jeremy Pitt; Rui P. Cardoso; Emma Hart; Josiah Ober (FAS*W@SASO/ICAC, 2018)

Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. - Neil Urquhart; Emma Hart (CoRR, 2018)

On Constructing Ensembles for Combinatorial Optimisation. - Emma Hart; Kevin Sim (Evol. Comput., 2018)

On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. - Eduardo Segredo; Eduardo Lalla-Ruiz; Emma Hart; Stefan Voß 001 (Expert Syst. Appl., 2018)

Selection methods and diversity preservation in many-objective evolutionary algorithms. - Luis Martí; Eduardo Segredo; Nayat Sánchez-Pi; Emma Hart (Data Technol. Appl., 2018)

Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. - Kehinde O. Babaagba; Zhiyuan Tan 001; Emma Hart (DependSys, 2019)

Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem. - Neil Urquhart; Emma Hart; William Hutcheson (EvoApplications, 2019)

Algorithm selection using deep learning without feature extraction. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO, 2019)

Evolving robust policies for community energy system management. - Rui P. Cardoso; Emma Hart; Jeremy V. Pitt (GECCO, 2019)

An illumination algorithm approach to solving the micro-depot routing problem. - Neil Urquhart; Silke Höhl; Emma Hart (GECCO, 2019)

Comparing encodings for performance and phenotypic exploration in evolving modular robots. - Frank Veenstra; Emma Hart; Edgar Buchanan; Wei Li 055; Matteo De Carlo; Ágoston E. Eiben (GECCO (Companion), 2019)

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. - Matthew F. Hale; Edgar Buchanan; Alan F. T. Winfield; Jon Timmis; Emma Hart; Ágoston E. Eiben; Mike Angus; Frank Veenstra; Wei Li 055; Robert Woolley; Matteo De Carlo; Andy M. Tyrrell (ALIFE, 2019)

Being a leader or being the leader: The evolution of institutionalised hierarchy. - Cedric Perret; Emma Hart; Simon T. Powers (ALIFE, 2019)

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. - Kehinde O. Babaagba; Zhiyuan Tan 001; Emma Hart (CEC, 2020)

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. - Kehinde O. Babaagba; Zhiyuan Tan 001; Emma Hart (EvoApplications, 2020)

A deep learning approach to predicting solutions in streaming optimisation domains. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO, 2020)

Diversity-driven wide learning for training distributed classification models. - Rui P. Cardoso; Emma Hart; Jeremy V. Pitt (GECCO Companion, 2020)

If it evolves it needs to learn. - A. E. Eiben; Emma Hart (GECCO Companion, 2020)

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. - Nikolaos Panagiaris; Emma Hart; Dimitra Gkatzia (INLG, 2020)

Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. - Léni K. Le Goff; Edgar Buchanan; Emma Hart; Ágoston E. Eiben; Wei Li 055; Matteo De Carlo; Matthew F. Hale; Mike Angus; Robert Woolley; Jon Timmis; Alan F. T. Winfield; Andrew M. Tyrrell (ALIFE, 2020)

On Pros and Cons of Evolving Topologies with Novelty Search. - Léni K. Le Goff; Emma Hart; Alexandre Coninx; Stéphane Doncieux (ALIFE, 2020)

Evolution of Diverse, Manufacturable Robot Body Plans. - Edgar Buchanan; Léni K. Le Goff; Emma Hart; Ágoston E. Eiben; Matteo De Carlo; Wei Li 055; Matthew F. Hale; Mike Angus; Robert Woolley; Alan F. T. Winfield; Jon Timmis; Andy M. Tyrrell (SSCI, 2020)

Hardware Design for Autonomous Robot Evolution. - Matthew F. Hale; Mike Angus; Edgar Buchanan; Wei Li 055; Robert Woolley; Léni K. Le Goff; Matteo De Carlo; Jon Timmis; Alan F. T. Winfield; Emma Hart; Ágoston E. Eiben; Andy M. Tyrrell (SSCI, 2020)

Using MAP-Elites to support policy making around Workforce Scheduling and Routing. - Neil Urquhart; Emma Hart; William Hutcheson (Autom., 2020)

A similarity-based neighbourhood search for enhancing the balance exploration-exploitation of differential evolution. - Eduardo Segredo; Eduardo Lalla-Ruiz; Emma Hart; Stefan Voß 001 (Comput. Oper. Res., 2020)

Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication. - Edgar Buchanan; Léni K. Le Goff; Wei Li 055; Emma Hart; Ágoston E. Eiben; Matteo De Carlo; Alan F. T. Winfield; Matthew F. Hale; Robert Woolley; Mike Angus; Jon Timmis; Andy M. Tyrrell (Robotics, 2020)

A Neural Approach to Generation of Constructive Heuristics. - Mohamad Alissa; Kevin Sim; Emma Hart (CEC, 2021)

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. - Rui P. Cardoso; Emma Hart; David Burth Kurka; Jeremy Pitt (EvoApplications, 2021)

Automated, Explainable Rule Extraction from MAP-Elites Archives. - Neil Urquhart; Silke Höhl; Emma Hart (EvoApplications, 2021)

Using novelty search to explicitly create diversity in ensembles of classifiers. - Rui P. Cardoso; Emma Hart; David Burth Kurka; Jeremy V. Pitt (GECCO, 2021)

On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme. - Léni K. Le Goff; Emma Hart (GECCO Companion, 2021)

Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images. - Elle Buser; Emma Hart; Ben Huenemann (CoRR, 2021)

Generating unambiguous and diverse referring expressions. - Nikolaos Panagiaris; Emma Hart; Dimitra Gkatzia (Comput. Speech Lang., 2021)

A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. - Christopher Stone 001; Emma Hart; Ben Paechter (Automated Design of Machine Learning and Search Algorithms, 2021)

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-diversity in Ensembles of Classifiers. - Rui P. Cardoso; Emma Hart; David Burth Kurka; Jeremy Pitt (EvoApplications, 2022)

The diversity-accuracy duality in ensembles of classifiers. - Rui P. Cardoso; Emma Hart; David Burth Kurka; Jeremy V. Pitt (GECCO Companion, 2022)

A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (PPSN (1), 2022)

Evolutionary Approaches to Improving the Layouts of Instance-Spaces. - Kevin Sim; Emma Hart (PPSN (1), 2022)

To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset. - Diederick Vermetten; Hao Wang 025; Kevin Sim; Emma Hart (Zenodo, 2022)

A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. - Kirsty Montague; Emma Hart; Geoff Nitschke; Ben Paechter (EvoApplications@EvoStar, 2023)

Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics. - Neil Urquhart; Emma Hart (EvoApplications@EvoStar, 2023)

To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. - Diederick Vermetten; Hao Wang 025; Kevin Sim; Emma Hart (EvoApplications@EvoStar, 2023)

A Feature-Free Approach to Automated Algorithm Selection. - Mohamad Alissa; Kevin Sim; Emma Hart (GECCO Companion, 2023)

Towards optimisers that 'Keep Learning'. - Emma Hart; Ian Miguel; Christopher Stone 001; Quentin Renau (GECCO Companion, 2023)

Learning-Based Neural Ant Colony Optimization. - Yi Liu 027; Jiang Qiu; Emma Hart; Yilan Yu; Zhongxue Gan; Wei Li 055 (GECCO, 2023)

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 (GECCO, 2023)

Evolving Herding Behaviour Diversity in Robot Swarms. - Geoff Nitschke; Scott Hallauer; Emma Hart (GECCO Companion, 2023)

Evolving Behavior Allocations in Robot Swarms. - Scott Hallauer; Geoff Nitschke; Emma Hart (SSCI, 2023)

Editorial: Reflecting on Thirty Years of ECJ. - Kenneth A. De Jong; Emma Hart (Evol. Comput., 2023)

Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism. - Léni K. Le Goff; Edgar Buchanan; Emma Hart; Ágoston E. Eiben; Wei Li 055; Matteo De Carlo; Alan F. T. Winfield; Matthew F. Hale; Robert Woolley; Mike Angus; Jon Timmis; Andy M. Tyrrell (IEEE Trans. Cogn. Dev. Syst., 2023)

Practical hardware for evolvable robots. - Mike Angus; Edgar Buchanan; Léni K. Le Goff; Emma Hart; Ágoston E. Eiben; Matteo De Carlo; Alan F. T. Winfield; Matthew F. Hale; Robert Woolley; Jon Timmis; Andy M. Tyrrell (Frontiers Robotics AI, 2023)

Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. - Mohamad Alissa; Kevin Sim; Emma Hart (J. Heuristics, 2023)

DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (SoftwareX, 2023)

A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. - Kirsty Montague; Emma Hart; Ben Paechter (EvoApplications@EvoStar, 2024)

On the Utility of Probing Trajectories for Algorithm-Selection. - Quentin Renau; Emma Hart (EvoApplications@EvoStar, 2024)

Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. - Leni K. Le Goff; Emma Hart (GECCO Companion, 2024)

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (GECCO, 2024)

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. - Quentin Renau; Johann Dréo; Emma Hart (GECCO Companion, 2024)

Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. - Quentin Renau; Emma Hart (GECCO, 2024)

Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. - Sarah L. Thomson; Léni K. Le Goff; Emma Hart; Edgar Buchanan (GECCO, 2024)

Automated Human-Readable Label Generation in Open Intent Discovery. - Grant Anderson; Emma Hart; Dimitra Gkatzia; Ian Beaver (INTERSPEECH, 2024)

An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. - Christopher Stone 001; Quentin Renau; Ian Miguel; Emma Hart (LION, 2024)

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. - Emma Hart; Quentin Renau; Kevin Sim; Mohamad Alissa (PPSN (2), 2024)

Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. - Quentin Renau; Emma Hart (PPSN (2), 2024)

An Open Intent Discovery Evaluation Framework. - Grant Anderson; Emma Hart; Dimitra Gkatzia; Ian Beaver (SIGDIAL, 2024)

An Investigation of the Factors Influencing Evolutionary Dynamics in the Joint Evolution of Robot Body and Control. - Léni K. Le Goff; Edgar Buchanan; Emma Hart (CoRR, 2024)

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. - Quentin Renau; Emma Hart (CoRR, 2024)

Paired Autoencoders for Inverse Problems. - Matthias Chung; Emma Hart; Julianne Chung; Bas Peters; Eldad Haber (CoRR, 2024)

Editorial: Autonomous (re)production, learning and bio-inspired robotics workshop. - Andy M. Tyrrell; Emma Hart; Alan F. T. Winfield; A. E. Eiben; Jon Timmis (Frontiers Robotics AI, 2024)

Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics. - Edgar Buchanan; Leni K. Le Goff; Matthew F. Hale; Emma Hart; Ágoston E. Eiben; Matteo De Carlo; Mike Angus; Robert Woolley; Jon Timmis; Alan F. T. Winfield; Andrew M. Tyrrell (Robotics, 2024)

Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples - Code and Data. - Quentin Renau; Emma Hart (Zenodo, 2024)

Evaluating the Robustness of Deep-learning Algorithm-selection Models by Evolving Adversarial Instances - Code and Data. - Quentin Renau; Emma Hart (Zenodo, 2024)

Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection - Code and Data. - Quentin Renau; Emma Hart (Zenodo, 2024)

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. - Quentin Renau; Johann Dréo; Emma Hart (Zenodo, 2024)

Generalized Early Stopping in Evolutionary Direct Policy Search. - Etor Arza; Léni K. Le Goff; Emma Hart (ACM Trans. Evol. Learn. Optim., 2024)

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing - Data. - Kevin Sim; Quentin Renau; Emma Hart (Zenodo, 2024)

Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces. - Wei Li 055; Edgar Buchanan; Léni K. Le Goff; Emma Hart; Matthew F. Hale; Bingsheng Wei; Matteo De Carlo; Mike Angus; Robert Woolley; Zhongxue Gan; Alan F. T. Winfield; Jon Timmis; et al. (IEEE Trans. Evol. Comput., 2024)

Into the Black Box: Mining Variable Importance with XAI. - Kelly Hunter; Sarah L. Thomson; Emma Hart (EvoApplications (2), 2025)

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. - Quentin Renau; Emma Hart (EvoApplications (2), 2025)

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. - Kevin Sim; Quentin Renau; Emma Hart (EvoApplications (2), 2025)

Stalling in Space: Attractor Analysis for Any Algorithm. - Sarah L. Thomson; Quentin Renau; Diederick Vermetten; Emma Hart; Niki van Stein; Anna V. Kononova (EvoApplications (2), 2025)

Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (Evol. Comput., 2025)

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting. - Soon Hoe Lim; Yijin Wang; Annan Yu; Emma Hart; Michael W. Mahoney; Xiaoye Sherry Li; N. Benjamin Erichson (Trans. Mach. Learn. Res., 2025)

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization. - Emma Hart; Julianne Chung; Matthias Chung (CoRR, 2025)

Class Incremental Learning for Algorithm Selection. - Mate Botond Nemeth; Emma Hart; Kevin Sim; Quentin Renau (CoRR, 2025)

Guest Editorial Machine-Learning-Assisted Evolutionary Computation. - Rong Qu; Nelishia Pillay; Emma Hart; Manuel López-Ibáñez 001 (IEEE Trans. Evol. Comput., 2025)

Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers. - Rui P. Cardoso; Emma Hart; Jeremy V. Pitt (SN Comput. Sci., 2025)