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Emma Hart

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affiliation: Edinburgh Napier University, UK

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2020 – today

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2025
[c135]
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Kelly Hunter, Sarah L. Thomson, Emma Hart:
Into the Black Box: Mining Variable Importance with XAI. EvoApplications (2) 2025: 20-35
[c134]
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Kevin Sim, Quentin Renau, Emma Hart:
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. EvoApplications (2) 2025: 386-402
[c133]
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Quentin Renau, Emma Hart:
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. EvoApplications (2) 2025: 452-468
[c132]
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Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova:
Stalling in Space: Attractor Analysis for Any Algorithm. EvoApplications (2) 2025: 510-526
[e12]
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Pablo García-Sánchez, Emma Hart, Sarah L. Thomson:
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15612, Springer 2025, ISBN 978-3-031-90061-7 [contents]
[e11]
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Pablo García-Sánchez, Emma Hart, Sarah L. Thomson:
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15613, Springer 2025, ISBN 978-3-031-90064-8 [contents]
[i22]
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  - journals/corr/abs-2501-11411
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Kevin Sim, Quentin Renau, Emma Hart:
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. CoRR abs/2501.11411 (2025)
[i21]
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  - journals/corr/abs-2501-11414
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Quentin Renau, Emma Hart:
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. CoRR abs/2501.11414 (2025)
[i20]
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  - journals/corr/abs-2501-14636
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Emma Hart, Julianne Chung, Matthias Chung:
A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization. CoRR abs/2501.14636 (2025)
2024
[j36]
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  - journals/robotics/BuchananGHHECAWTWT24
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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:
Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics. Robotics 13(11): 157 (2024)
[j35]
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Wei Li, 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, Ágoston E. Eiben, Andy M. Tyrrell:
Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces. IEEE Trans. Evol. Comput. 28(6): 1561-1574 (2024)
[j34]
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Etor Arza, Léni K. Le Goff, Emma Hart:
Generalized Early Stopping in Evolutionary Direct Policy Search. ACM Trans. Evol. Learn. Optim. 4(3): 14:1-14:28 (2024)
[c131]
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Quentin Renau, Emma Hart:
On the Utility of Probing Trajectories for Algorithm-Selection. EvoApplications@EvoStar 2024: 98-114
[c130]
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Kirsty Montague, Emma Hart, Ben Paechter:
A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. EvoApplications@EvoStar 2024: 178-193
[c129]
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Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. GECCO Companion 2024: 151-154
[c128]
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Leni K. Le Goff, Emma Hart:
Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. GECCO Companion 2024: 1607-1615
[c127]
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Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart:
Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. GECCO 2024
[c126]
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Quentin Renau, Emma Hart:
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. GECCO 2024
[c125]
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Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan:
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks. GECCO 2024
[c124]
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  - conf/lion/StoneRMH24
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Christopher Stone, Quentin Renau, Ian Miguel, Emma Hart:
An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. LION 2024: 399-414
[c123]
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Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. PPSN (2) 2024: 70-86
[c122]
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  - conf/ppsn/HartRSA24
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Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. PPSN (2) 2024: 121-136
[c121]
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  - conf/sigdial/AndersonHGB24
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Grant Anderson, Emma Hart, Dimitra Gkatzia, Ian Beaver:
An Open Intent Discovery Evaluation Framework. SIGDIAL 2024: 760-769
[d5]
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Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. Zenodo, 2024
[d4]
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Quentin Renau, Emma Hart:
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples - Code and Data. Zenodo, 2024
[d3]
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  - data/11/RenauH24a
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Quentin Renau, Emma Hart:
Evaluating the Robustness of Deep-learning Algorithm-selection Models by Evolving Adversarial Instances - Code and Data. Zenodo, 2024
[d2]
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Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection - Code and Data. Zenodo, 2024
[i19]
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  - journals/corr/abs-2401-12745
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Quentin Renau, Emma Hart:
On the Utility of Probing Trajectories for Algorithm-Selection. CoRR abs/2401.12745 (2024)
[i18]
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  - journals/corr/abs-2402-07822
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Sarah L. Thomson, Léni K. Le Goff, Emma Hart, Edgar Buchanan:
Understanding fitness landscapes in morpho-evolution via local optima networks. CoRR abs/2402.07822 (2024)
[i17]
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  - journals/corr/abs-2403-10303
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Léni K. Le Goff, Edgar Buchanan, Emma Hart:
An Investigation of the Factors Influencing Evolutionary Dynamics in the Joint Evolution of Robot Body and Control. CoRR abs/2403.10303 (2024)
[i16]
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  - journals/corr/abs-2404-05359
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Quentin Renau, Emma Hart:
Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. CoRR abs/2404.05359 (2024)
[i15]
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  - journals/corr/abs-2405-13220
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Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber:
Paired Autoencoders for Inverse Problems. CoRR abs/2405.13220 (2024)
[i14]
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  - journals/corr/abs-2406-16609
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Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. CoRR abs/2406.16609 (2024)
[i13]
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  - journals/corr/abs-2406-16999
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Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. CoRR abs/2406.16999 (2024)
[i12]
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  - journals/corr/abs-2410-03229
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Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Xiaoye S. Li, N. Benjamin Erichson:
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting. CoRR abs/2410.03229 (2024)
[i11]
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  - journals/corr/abs-2412-15848
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Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova:
Stalling in Space: Attractor Analysis for any Algorithm. CoRR abs/2412.15848 (2024)
2023
[j33]
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  - journals/ec/JongH23
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Kenneth A. De Jong, Emma Hart:
Editorial: Reflecting on Thirty Years of ECJ. Evol. Comput. 31(2): 73-79 (2023)
[j32]
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  - journals/firai/AngusBGHECWHWTT23
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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:
Practical hardware for evolvable robots. Frontiers Robotics AI 10 (2023)
[j31]
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  - journals/heuristics/AlissaSH23
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Mohamad Alissa, Kevin Sim, Emma Hart:
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. J. Heuristics 29(1): 1-38 (2023)
[j30]
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  - journals/softx/MarreroSLH23
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Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart:
DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains. SoftwareX 22: 101355 (2023)
[j29]
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  - journals/tamd/GoffBHE0CWHWATT23
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Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism. IEEE Trans. Cogn. Dev. Syst. 15(2): 507-517 (2023)
[c120]
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  - conf/evoapps/UrquhartH13
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Neil Urquhart, Emma Hart:
Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics. EvoApplications@EvoStar 2023: 35-52
[c119]
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Kirsty Montague, Emma Hart, Geoff Nitschke, Ben Paechter:
A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. EvoApplications@EvoStar 2023: 145-160
[c118]
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Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. EvoApplications@EvoStar 2023: 335-350
[c117]
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  - conf/gecco/AlissaSH23
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Mohamad Alissa, Kevin Sim, Emma Hart:
A Feature-Free Approach to Automated Algorithm Selection. GECCO Companion 2023: 9-10
[c116]
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  - conf/gecco/LiuQHYG023
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Yi Liu, Jiang Qiu, Emma Hart, Yilan Yu, Zhongxue Gan, Wei Li:
Learning-Based Neural Ant Colony Optimization. GECCO 2023: 47-55
[c115]
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  - conf/gecco/NitschkeHH23
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Geoff Nitschke, Scott Hallauer, Emma Hart:
Evolving Herding Behaviour Diversity in Robot Swarms. GECCO Companion 2023: 95-98
[c114]
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  - conf/gecco/MarreroSHBN23
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Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann:
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. GECCO 2023: 312-320
[c113]
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Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau:
Towards optimisers that 'Keep Learning'. GECCO Companion 2023: 1636-1638
[c112]
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  - conf/ssci/HallauerNH23
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Scott Hallauer, Geoff Nitschke, Emma Hart:
Evolving Behavior Allocations in Robot Swarms. SSCI 2023: 1526-1531
[i10]
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  - journals/corr/abs-2302-09075
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Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features. CoRR abs/2302.09075 (2023)
[i9]
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Etor Arza, Leni K. Le Goff, Emma Hart:
Generalized Early Stopping in Evolutionary Direct Policy Search. CoRR abs/2308.03574 (2023)
2022
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  - conf/evoW/CardosoHKP22
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Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy Pitt:
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-diversity in Ensembles of Classifiers. EvoApplications 2022: 418-434
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Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt:
The diversity-accuracy duality in ensembles of classifiers. GECCO Companion 2022: 627-630
[c109]
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Kevin Sim, Emma Hart:
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. PPSN (1) 2022: 207-219
[c108]
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Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart:
A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. PPSN (1) 2022: 223-236
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Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset. Zenodo, 2022
[i8]
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Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt:
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers. CoRR abs/2201.12896 (2022)
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Mohamad Alissa, Kevin Sim, Emma Hart:
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. CoRR abs/2203.13392 (2022)
2021
[j28]
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Nikolaos Panagiaris, Emma Hart, Dimitra Gkatzia:
Generating unambiguous and diverse referring expressions. Comput. Speech Lang. 68: 101184 (2021)
[c107]
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Mohamad Alissa, Kevin Sim, Emma Hart:
A Neural Approach to Generation of Constructive Heuristics. CEC 2021: 1147-1154
[c106]
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Neil Urquhart, Silke Höhl, Emma Hart:
Automated, Explainable Rule Extraction from MAP-Elites Archives. EvoApplications 2021: 258-272
[c105]
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Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy Pitt:
WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. EvoApplications 2021: 649-664
[c104]
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Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt:
Using novelty search to explicitly create diversity in ensembles of classifiers. GECCO 2021: 849-857
[c103]
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Léni K. Le Goff, Emma Hart:
On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme. GECCO Companion 2021: 1498-1502
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Christopher Stone, Emma Hart, Ben Paechter:
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. Automated Design of Machine Learning and Search Algorithms 2021: 91-107
[i6]
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  - journals/corr/abs-2104-04269
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Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho-evolution with learning using a controller archive as an inheritance mechanism. CoRR abs/2104.04269 (2021)
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  - journals/corr/abs-2109-14116
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Elle Buser, Emma Hart, Ben Huenemann:
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images. CoRR abs/2109.14116 (2021)
2020
[j27]
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Neil Urquhart, Emma Hart, William Hutcheson:
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Autom. 68(2): 110-117 (2020)
[j26]
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Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Stefan Voß:
A similarity-based neighbourhood search for enhancing the balance exploration-exploitation of differential evolution. Comput. Oper. Res. 117: 104871 (2020)
[j25]
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Edgar Buchanan, Léni K. Le Goff, Wei Li, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication. Robotics 9(4): 106 (2020)
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Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart:
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. CEC 2020: 1-7
[c101]
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Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart:
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. EvoApplications 2020: 117-132
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Rui P. Cardoso, Emma Hart, Jeremy V. Pitt:
Diversity-driven wide learning for training distributed classification models. GECCO Companion 2020: 119-120
[c99]
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Mohamad Alissa, Kevin Sim, Emma Hart:
A deep learning approach to predicting solutions in streaming optimisation domains. GECCO 2020: 157-165
[c98]
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A. E. Eiben, Emma Hart:
If it evolves it needs to learn. GECCO Companion 2020: 1383-1384
[c97]
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  - conf/inlg/PanagiarisHG20
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Nikolaos Panagiaris, Emma Hart, Dimitra Gkatzia:
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. INLG 2020: 41-51
[c96]
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Léni K. Le Goff, Emma Hart, Alexandre Coninx, Stéphane Doncieux:
On Pros and Cons of Evolving Topologies with Novelty Search. ALIFE 2020: 423-431
[c95]
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Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Matthew F. Hale, Mike Angus, Robert Woolley, Jon Timmis, Alan F. T. Winfield, Andrew M. Tyrrell:
Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. ALIFE 2020: 432-440
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Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Wei Li, Matthew F. Hale, Mike Angus, Robert Woolley, Alan F. T. Winfield, Jon Timmis, Andy M. Tyrrell:
Evolution of Diverse, Manufacturable Robot Body Plans. SSCI 2020: 2132-2139
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Matthew F. Hale, Mike Angus, Edgar Buchanan, Wei Li, Robert Woolley, Léni K. Le Goff, Matteo De Carlo, Jon Timmis, Alan F. T. Winfield, Emma Hart, Ágoston E. Eiben, Andy M. Tyrrell:
Hardware Design for Autonomous Robot Evolution. SSCI 2020: 2140-2147

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart:
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. DependSys 2019: 369-382
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Neil Urquhart, Emma Hart, William Hutcheson:
Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem. EvoApplications 2019: 49-63
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Frank Veenstra, Emma Hart, Edgar Buchanan, Wei Li, Matteo De Carlo, Ágoston E. Eiben:
Comparing encodings for performance and phenotypic exploration in evolving modular robots. GECCO (Companion) 2019: 127-128
[c89]
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Mohamad Alissa, Kevin Sim, Emma Hart:
Algorithm selection using deep learning without feature extraction. GECCO 2019: 198-206
[c88]
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Rui P. Cardoso, Emma Hart, Jeremy V. Pitt:
Evolving robust policies for community energy system management. GECCO 2019: 1120-1128
[c87]
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Neil Urquhart, Silke Höhl, Emma Hart:
An illumination algorithm approach to solving the micro-depot routing problem. GECCO 2019: 1347-1355
[c86]
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Matthew F. Hale, Edgar Buchanan, Alan F. T. Winfield, Jon Timmis, Emma Hart, Ágoston E. Eiben, Mike Angus, Frank Veenstra, Wei Li, Robert Woolley, Matteo De Carlo, Andy M. Tyrrell:
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. ALIFE 2019: 95-102
[c85]
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Cedric Perret, Emma Hart, Simon T. Powers:
Being a leader or being the leader: The evolution of institutionalised hierarchy. ALIFE 2019: 171-178
2018
[j24]
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Emma Hart, Kevin Sim:
On Constructing Ensembles for Combinatorial Optimisation. Evol. Comput. 26(1) (2018)
[j23]
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Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Stefan Voß:
On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. Expert Syst. Appl. 102: 126-142 (2018)
[j22]
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Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart:
Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technol. Appl. 52(4): 502-519 (2018)
[c84]
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Christopher Stone, Emma Hart, Ben Paechter:
Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs. EvoApplications 2018: 578-593
[c83]
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Emma Hart, Andreas S. W. Steyven, Ben Paechter:
Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm. GECCO 2018: 101-108
[c82]
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Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart:
A novel similarity-based mutant vector generation strategy for differential evolution. GECCO 2018: 881-888
[c81]
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Cedric Perret, Simon T. Powers, Jeremy Pitt, Emma Hart:
Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. ALIFE 2018: 288-295
[c80]
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Rui P. Cardoso, Rosaldo J. F. Rossetti, Emma Hart, David Burth Kurka, Jeremy Pitt:
Engineering Sustainable and Adaptive Systems in Dynamic and Unpredictable Environments. ISoLA (3) 2018: 221-240
[c79]
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Christopher Stone, Emma Hart, Ben Paechter:
On the Synthesis of Perturbative Heuristics for Multiple Combinatorial Optimisation Domains. PPSN (1) 2018: 170-182
[c78]
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Neil Urquhart, Emma Hart:
Optimisation and Illumination of a Real-World Workforce Scheduling and Routing Application (WSRP) via Map-Elites. PPSN (1) 2018: 488-499
[c77]
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Jeremy Pitt, Rui P. Cardoso, Emma Hart, Josiah Ober:
Relevant Expertise Aggregation for Policy Selection in Collective Adaptive Systems. FAS*W@SASO/ICAC 2018: 136-141
[i4]
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Emma Hart, Andreas S. W. Steyven, Ben Paechter:
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. CoRR abs/1804.07655 (2018)
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Andreas Steyven, Emma Hart, Ben Paechter:
An Investigation of Environmental Influence on the Benefits of Adaptation Mechanisms in Evolutionary Swarm Robotics. CoRR abs/1804.07663 (2018)
[i2]
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Neil Urquhart, Emma Hart:
Optimisation and Illumination of a Real-world Workforce Scheduling and Routing Application via Map-Elites. CoRR abs/1805.11555 (2018)
2017
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Wenjian Luo, Emma Hart, Mengjie Zhang:
Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 235 (2017)
[c76]
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Cedric Perret, Simon T. Powers, Emma Hart:
Emergence of hierarchy from the evolution of individual influence in an agent-based model. ECAL 2017: 348-355
[c75]
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Emma Hart, Kevin Sim:
On constructing ensembles for combinatorial optimisation. GECCO (Companion) 2017: 5-6
[c74]
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Andreas Steyven, Emma Hart, Ben Paechter:
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. GECCO 2017: 155-162
[c73]
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Emma Hart, Kevin Sim, Barry Gardiner, Kana Kamimura:
A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. GECCO 2017: 1121-1128
[c72]
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Rasmus Munk, Emma Hart, Ben Paechter:
Validation of a learning and evolving robot swarm. GECCO (Companion) 2017: 1687-1688
[c71]
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Luis Martí, Eduardo Segredo, Nayat Sánchez-Pi, Emma Hart:
Impact of selection methods on the diversity of many-objective Pareto set approximations. KES 2017: 844-853
[c70]
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Jeremy Pitt, Emma Hart:
For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems. FAS*W@SASO/ICCAC 2017: 45-50
2016
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Emma Hart, Kevin Sim:
A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling. Evol. Comput. 24(4): 609-635 (2016)
[j19]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM Trans. Auton. Adapt. Syst. 11(2): 6:1-6:25 (2016)
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Eduardo Segredo, Ben Paechter, Emma Hart, Carlos Ignacio Gonzalez-Vila:
Hybrid parameter control approach applied to a diversity-based multi-objective memetic algorithm for frequency assignment problems. CEC 2016: 1517-1524
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Ahmed Salah, Emma Hart, Kevin Sim:
Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms. EvoApplications (2) 2016: 11-26
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Ahmed Salah, Emma Hart:
A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization Problems. GECCO (Companion) 2016: 977-982
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Kevin Sim, Emma Hart:
A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem. GECCO 2016: 1093-1100
[c65]
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Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood:
Women@GECCO 2016 Chairs' Welcome. GECCO (Companion) 2016: 1447-1449
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Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Ben Paechter, Stefan Voß:
Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation. LION 2016: 296-305
[c63]
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Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Voß, Emma Hart, Ben Paechter:
Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. PPSN 2016: 134-144
[c62]
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Andreas Steyven, Emma Hart, Ben Paechter:
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. PPSN 2016: 921-931
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Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter:
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science 9921, Springer 2016, ISBN 978-3-319-45822-9 [contents]
2015
[j18]
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Kevin Sim, Emma Hart, Ben Paechter:
A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evol. Comput. 23(1): 37-67 (2015)
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Giacomo Cabri, Emma Hart:
Introduction to the Special Issue on Collective Adaptive Systems. Scalable Comput. Pract. Exp. 16(3): iii (2015)
[j16]
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Eduardo Segredo, Carlos Segura, Coromoto León, Emma Hart:
A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation. Soft Comput. 19(10): 2927-2945 (2015)
[c61]
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Craig McMillan, Emma Hart, Kevin Chalmers:
Collaborative Diffusion on the GPU for Path-Finding in Games. EvoApplications 2015: 418-429
[c60]
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Emma Hart, Andreas Steyven, Ben Paechter:
Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. GECCO 2015: 169-176
[c59]
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Andreas Steyven, Emma Hart, Ben Paechter:
The Cost of Communication: Environmental Pressure and Survivability in mEDEA. GECCO (Companion) 2015: 1239-1240
[c58]
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Ahmed Salah, Emma Hart:
Grid Diversity Operator for Some Population-Based Optimization Algorithms. GECCO (Companion) 2015: 1475-1476
[c57]
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Kevin Sim, Emma Hart:
A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules. GECCO (Companion) 2015: 1485-1486
[c56]
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Neil B. Urquhart, Emma Hart, Alistair Judson:
Multi-Modal Employee Routing with Time Windows in an Urban Environment. GECCO (Companion) 2015: 1503-1504
2014
[c55]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
Idiotypic Networks for Evolutionary Controllers in Virtual Creatures. ALIFE 2014: 192-199
[c54]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
Artificial immune systems in the context of autonomic computing: integrating design paradigms. GECCO (Companion) 2014: 21-22
[c53]
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Kevin Sim, Emma Hart:
An improved immune inspired hyper-heuristic for combinatorial optimisation problems. GECCO 2014: 121-128
[c52]
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Emma Hart, Kevin Sim, Neil Urquhart:
A real-world employee scheduling and routing application. GECCO (Companion) 2014: 1239-1242
[c51]
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Emma Hart, Kevin Sim:
On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System. PPSN 2014: 282-291
[c50]
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Giacomo Cabri, Emma Hart:
2nd FOCAS Workshop on Fundamentals of Collective Adaptive Systems. SASO Workshops 2014: 6-7
[c49]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
Artificial Immune System Driven Evolution in Swarm Chemistry. SASO 2014: 40-49
2013
[c48]
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Kevin Sim, Emma Hart, Ben Paechter:
Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic. ECAL 2013: 856-863
[c47]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics. ECAL 2013: 864-871
[c46]
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Emma Hart, Mark Read, Chris McEwan, Uwe Aickelin, Julie Greensmith:
On the Role of the AIS Practitioner. ECAL 2013: 891-892
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Neil Urquhart, Catherine Scott, Emma Hart:
Incorporating emissions models within a multi-objectivevehicle routing problem. GECCO (Companion) 2013: 193-194
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Neil Urquhart, Catherine Scott, Emma Hart:
Using graphical information systems to improve vehicle routing problem instances. GECCO (Companion) 2013: 1097-1102
[c43]
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Kevin Sim, Emma Hart:
Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model. GECCO 2013: 1549-1556
[c42]
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Nicola Capodieci, Emma Hart, Giacomo Cabri:
Designing Self-Aware Adaptive Systems: From Autonomic Computing to Cognitive Immune Networks. SASO Workshops 2013: 59-64
2012
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Kevin Sim, Emma Hart, Ben Paechter:
A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution. PPSN (2) 2012: 348-357
[e9]
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Emma Hart, Jon Timmis, Paul D. Mitchell, Takadash Nakamo, Foad Dabiri:
Bio-Inspired Models of Networks, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 103, Springer 2012, ISBN 978-3-642-32710-0 [contents]
2011
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Emma Hart, Chris McEwan, Jon Timmis, Andrew Hone:
Advances in artificial immune systems. Evol. Intell. 4(2): 67-68 (2011)
[j14]
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Chris McEwan, Emma Hart:
On clonal selection. Theor. Comput. Sci. 412(6): 502-516 (2011)
[c40]
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Emma Hart, Despina Davoudani:
An Engineering-Informed Modelling Approach to AIS. ICARIS 2011: 240-253
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Emma Hart, Giacomo Cabri, Jeremy Pitt:
Workshop Preface. SASO Workshops 2011: 99-101
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Ingi Helgason, Jay Bradley, Callum Egan, Ben Paechter, Emma Hart:
This Pervasive Day: Creative, Interactive Methods for Encouraging Public Engagement with FET Research. FET 2011: 207-208
[i1]
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Emma Hart, Thomas Jansen, Jon Timmis:
Artificial Immune Systems (Dagstuhl Seminar 11172). Dagstuhl Reports 1(4): 100-111 (2011)
2010
[j13]
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Eitan Altman, Tamer Basar, Emma Hart, Daniele Miorandi, Aris L. Moustakas, Stavros Toumpis:
Special issue on "New Network Paradigms". Comput. Networks 54(6): 879-880 (2010)
[j12]
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Emma Hart, Hugues Bersini, Francisco C. Santos:
Structure versus function: a topological perspective on immune networks. Nat. Comput. 9(3): 603-624 (2010)
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Jon Timmis, Paul S. Andrews, Emma Hart:
Special issue on artificial immune systems. Swarm Intell. 4(4): 245-246 (2010)
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Jon Timmis, Paul S. Andrews, Emma Hart:
On artificial immune systems and swarm intelligence. Swarm Intell. 4(4): 247-273 (2010)
[c37]
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Neil Urquhart, Emma Hart, Cathy Scott:
Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm. IEEE Congress on Evolutionary Computation 2010: 1-6
[c36]
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Cathy Scott, Neil Urquhart, Emma Hart:
Influence of Topology and Payload on CO₂ Optimised Vehicle Routing. EvoApplications (2) 2010: 141-150
[c35]
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Neil Urquhart, Cathy Scott, Emma Hart:
Using an Evolutionary Algorithm to Discover Low CO₂ Tours within a Travelling Salesman Problem. EvoApplications (2) 2010: 421-430
[c34]
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Chris McEwan, Emma Hart:
Clonal Selection from First Principles. ICARIS 2010: 18-32
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Emma Hart, Ben Paechter:
Towards Self-aware PerAda Systems. ICARIS 2010: 314-316
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Tinku Rasheed, Emma Hart, James Bown, Ruth Falconer:
Symbiotic Cognitive Networks: A Proposal. ICARIS 2010: 326-328
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Eitan Altman, Iacopo Carreras, Rachid El Azouzi, Emma Hart, Yezekael Hayel:
Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 39, Springer 2010, ISBN 978-3-642-12807-3 [contents]
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Emma Hart, Chris McEwan, Jon Timmis, Andy Hone:
Artificial Immune Systems, 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010. Proceedings. Lecture Notes in Computer Science 6209, Springer 2010, ISBN 978-3-642-14546-9 [contents]

2000 – 2009

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2009
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Chris McEwan, Emma Hart:
Representation in the (Artificial) Immune System. J. Math. Model. Algorithms 8(2): 125-149 (2009)
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Emma Hart, Despina Davoudani:
Dendritic Cell Trafficking: From Immunology to Engineering. ICARIS 2009: 11-13
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Chris McEwan, Emma Hart:
On AIRS and Clonal Selection for Machine Learning. ICARIS 2009: 67-79
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Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy M. Tyrrell:
Artificial Immune Systems, 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009. Proceedings. Lecture Notes in Computer Science 5666, Springer 2009, ISBN 978-3-642-03245-5 [contents]
2008
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Emma Hart, Jon Timmis:
Application areas of AIS: The past, the present and the future. Appl. Soft Comput. 8(1): 191-201 (2008)
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Despina Davoudani, Emma Hart, Ben Paechter:
Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model. ICARIS 2008: 95-106
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Nrupal Prattipati, Emma Hart:
Evaluation and Extension of the AISEC Email Classification System. ICARIS 2008: 154-165
[c27]
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Chris McEwan, Emma Hart, Ben Paechter:
Boosting the Immune System. ICARIS 2008: 316-327
[c26]
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Jon Timmis, Emma Hart, Andy Hone, Mark James Neal, Adrian Robins, Susan Stepney, Andy M. Tyrrell:
Immuno-engineering. BICC 2008: 3-17
[c25]
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Ruth Falconer, James Bown, Emma Hart, Jon Timmis:
A New Paradigm for SpeckNets: Inspiration from Fungal Colonies. SASO Workshops 2008: 90-95
2007
[c24]
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Emma Hart, Despina Davoudani, Chris McEwan:
Immunological inspiration for building a new generation of autonomic systems. Autonomics 2007: 9
[c23]
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Chris McEwan, Emma Hart, Ben Paechter:
Revisiting the Central and Peripheral Immune System. ICARIS 2007: 240-251
[c22]
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Emma Hart, Francisco C. Santos, Hugues Bersini:
Topological Constraints in the Evolution of Idiotypic Networks. ICARIS 2007: 252-263
[c21]
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Despina Davoudani, Emma Hart, Ben Paechter:
An Immune-Inspired Approach to Speckled Computing. ICARIS 2007: 288-299
2006
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Emma Hart:
Analysis of a Growth Model for Idiotypic Networks. ICARIS 2006: 66-80
[c19]
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Emma Hart, Hugues Bersini, Francisco C. Santos:
Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. ICARIS 2006: 109-121
2005
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Emma Hart, Peter Ross, David Corne:
Evolutionary Scheduling: A Review. Genet. Program. Evolvable Mach. 6(2): 191-220 (2005)
[j6]
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Emma Hart, Peter Ross:
The Impact of the Shape of Antibody Recognition Regions on the Emergence of Idiotypic Networks. Int. J. Unconv. Comput. 1(3): 281-313 (2005)
[c18]
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Emma Hart:
Not All Balls Are Round: An Investigation of Alternative Recognition-Region Shapes. ICARIS 2005: 29-42
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Emma Hart, Jonathan Timmis:
Application Areas of AIS: The Past, The Present and The Future. ICARIS 2005: 483-497
2004
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Jens Gottlieb, Emma Hart, Martin Middendorf, Günther R. Raidl, Colin Reeves:
Editorial. J. Math. Model. Algorithms 3(4): 311-312 (2004)
[c16]
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Peter Ross, Javier G. Marín-Blázquez, Emma Hart:
Hyper-heuristics applied to class and exam timetabling problems. IEEE Congress on Evolutionary Computation 2004: 1691-1698
[c15]
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Emma Hart, Peter Ross:
Studies on the Implications of Shape-Space Models for Idiotypic Networks. ICARIS 2004: 413-426
2003
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Emma Hart, Peter Ross:
Exploiting the Analogy between the Immune System and Sparse Distributed Memories. Genet. Program. Evolvable Mach. 4(4): 333-358 (2003)
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Peter Ross, Emma Hart, Alistair Lawson, Andrew Webb, Erich Prem, Patrick Poelz, Giovanna Morgavi:
Requirements for Getting a Robot to Grow up. ECAL 2003: 847-856
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Andrew Webb, Emma Hart, Peter Ross, Alistair Lawson:
Controlling a Simulated Khepera with an XCS Classifier System with Memory. ECAL 2003: 885-892
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Peter Ross, Javier G. Marín-Blázquez, Sonia Schulenburg, Emma Hart:
Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics. GECCO 2003: 1295-1306
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Emma Hart, Peter Ross, Andrew Webb, Alistair Lawson:
A Role for Immunology in "Next Generation" Robot Controllers. ICARIS 2003: 46-56
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Emma Hart, Peter Ross:
Improving SOSDM: Inspirations from the Danger Theory. ICARIS 2003: 194-203
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Edmund K. Burke, Graham Kendall, Jim Newall, Emma Hart, Peter Ross, Sonia Schulenburg:
Hyper-Heuristics: An Emerging Direction in Modern Search Technology. Handbook of Metaheuristics 2003: 457-474
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Günther R. Raidl, Jean-Arcady Meyer, Martin Middendorf, Stefano Cagnoni, Juan J. Romero Cardalda, David Corne, Jens Gottlieb, Agnès Guillot, Emma Hart, Colin G. Johnson, Elena Marchiori:
Applications of Evolutionary Computing, EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, Proceedings. Lecture Notes in Computer Science 2611, Springer 2003, ISBN 3-540-00976-0 [contents]
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Jon Timmis, Peter J. Bentley, Emma Hart:
Artificial Immune Systems, Second International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003, Proceedings. Lecture Notes in Computer Science 2787, Springer 2003, ISBN 3-540-40766-9 [contents]
2002
[b1]
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Emma Hart:
Immunology as a metaphor for computational information processing : fact or fiction. University of Edinburgh, UK, 2002
[c9]
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Peter Ross, Sonia Schulenburg, Javier G. Marín-Blázquez, Emma Hart:
Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems. GECCO 2002: 942-948
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Stefano Cagnoni, Jens Gottlieb, Emma Hart, Martin Middendorf, Günther R. Raidl:
Applications of Evolutionary Computing, EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN, Kinsale, Ireland, April 3-4, 2002, Proceedings. Lecture Notes in Computer Science 2279, Springer 2002, ISBN 3-540-43432-1 [contents]
2001
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Emma Hart, Peter Ross:
GAVEL - a new tool for genetic algorithm visualization. IEEE Trans. Evol. Comput. 5(4): 335-348 (2001)
[c8]
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Emma Hart, Peter Ross:
Clustering Moving Data With a Modified Immune Algorithm. EvoWorkshops 2001: 394-403
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Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, H. Tijink:
Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2037, Springer 2001, ISBN 3-540-41920-9 [contents]
2000
[c7]
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Emma Hart, Peter Ross:
A Systematic Investigation of GA Performance on Jop Shop Scheduling Problems. EvoWorkshops 2000: 277-286
[c6]
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Emma Hart, Peter Ross:
Enhancing the Performance of a GA through Visualization. GECCO 2000: 347-354
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Stefano Cagnoni, Riccardo Poli, Yun Li, George D. Smith, David Corne, Martin J. Oates, Emma Hart, Pier Luca Lanzi, Egbert J. W. Boers, Ben Paechter, Terence C. Fogarty:
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000, Proceedings. Lecture Notes in Computer Science 1803, Springer 2000, ISBN 3-540-67353-9 [contents]

1990 – 1999

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1999
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Emma Hart, Peter Ross, Jeremy A. D. Nelson:
Scheduling chicken catching ‐ An investigationinto the success of a genetic algorithm on areal‐world scheduling problem. Ann. Oper. Res. 92: 363-380 (1999)
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Emma Hart, Peter Ross:
An Immune System Approach to Scheduling in Changing Environments. GECCO 1999: 1559-1566
1998
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Emma Hart, Jeremy A. D. Nelson, Peter Ross:
Solving a Real-World Problem Using an Evolving Heuristically Driven Schedule Builder. Evol. Comput. 6(1): 61-80 (1998)
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Jonathan Lewis, Emma Hart, Graeme Ritchie:
A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems. PPSN 1998: 139-148
[c3]
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Peter Ross, Emma Hart:
An Adaptive Mutation Scheme for a Penalty-Based Graph-Colouring GA. PPSN 1998: 795-802
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Emma Hart, Peter Ross:
A Heuristic Combination Method for Solving Job-Shop Scheduling Problems. PPSN 1998: 845-854
1997
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Peter Ross, Emma Hart, David Corne:
Some Observations about GA-Based Exam Timetabling. PATAT 1997: 115-129

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