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150 results

Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches

Journal Article
Alissa, M., Sim, K., & Hart, E. (in press)
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches. Journal of Heuristics, https://doi.org/10.1007/s10732-022-09505-4
We propose a novel technique for algorithm-selection, applicable to optimisation domains in which there is implicit sequential information encapsulated in the data, e.g., in o...

Evolutionary Approaches to Improving the Layouts of Instance-Spaces

Conference Proceeding
Sim, K., & Hart, E. (2022)
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. In Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022 (207-219). https://doi.org/10.1007/978-3-031-14714-2_15
We propose two new methods for evolving the layout of an instance-space. Specifically we design three different fitness metrics that seek to: (i) reward layouts which place in...

A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem

Conference Proceeding
Marrero, A., Segredo, E., León, C., & Hart, E. (2022)
A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. In Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022 (223-236). https://doi.org/10.1007/978-3-031-14714-2_16
We propose a new approach to generating synthetic instances in the knapsack domain in order to fill an instance-space. The method uses a novelty-search algorithm to search for...

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers

Conference Proceeding
Cardoso, R. P., Hart, E., Burth Kurka, D., & Pitt, J. (2022)
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers. In Applications of Evolutionary Computation: EvoApplications 2022 (418-434). https://doi.org/10.1007/978-3-031-02462-7_27
Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using grad...

Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn

Book Chapter
Hart, E. (2022)
Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn. In A. E. Smith (Ed.), Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics (187-203). Cham: Springer. https://doi.org/10.1007/978-3-030-79092-9_9
Standard approaches to developing optimisation algorithms tend to involve selecting an algorithm and tuning it to work well on a large set of problem instances from the domain...

Morpho-evolution with learning using a controller archive as an inheritance mechanism

Journal Article
Le Goff, L. K., Buchanan, E., Hart, E., Eiben, A. E., Li, W., De Carlo, M., …Tyrrell, A. M. (in press)
Morpho-evolution with learning using a controller archive as an inheritance mechanism. IEEE Transactions on Cognitive and Developmental Systems, https://doi.org/10.1109/tcds.2022.3148543
Most work in evolutionary robotics centres on evolving a controller for a fixed body-plan. However, previous studiessuggest that simultaneously evolving both controller ...

Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning

Journal Article
Hart, E., & Le Goff, L. K. (2022)
Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences, 377(1843), https://doi.org/10.1098/rstb.2021.0117
We survey and reflect on evolutionary approaches to the joint optimisation of the body and control of a robot, in scenarios where a the goal is to find a design that maximises...

Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models

Journal Article
Pomponi, F., Luque Anguita, M., Lange, M., D'Amico, B., & Hart, E. (2021)
Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models. Frontiers in Built Environment, 7, Article 745598. https://doi.org/10.3389/fbuil.2021.745598
The construction and operation of buildings account for significant environmental impacts, including greenhouse gas (GHG) emissions, energy demand, resource consumption and wa...

A Neural Approach to Generation of Constructive Heuristics

Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2021)
A Neural Approach to Generation of Constructive Heuristics. In 2021 IEEE Congress on Evolutionary Computation (CEC) (1147-1154). https://doi.org/10.1109/CEC45853.2021.9504989
Both algorithm-selection methods and hyper-heuristic methods rely on a pool of complementary heuristics. Improving the pool with new heuristics can improve performance, howeve...

A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics

Book Chapter
Stone, C., Hart, E., & Paechter, B. (2021)
A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. In N. Pillay, & R. Qu (Eds.), Automated Design of Machine Learning and Search Algorithms (91-107). Springer. https://doi.org/10.1007/978-3-030-72069-8_6
Hyper-heuristic frameworks, although intended to be cross-domain at the highest level, usually rely on a set of domain-specific low-level heuristics which exist below the doma...
15 results

Marine Soundscapes and eDNA for Assessing Biodiversity and Functioning of Re-establishing European Flat Oyster Reefs, Ostrea edulis

2021 - 2025
Marine Soundscapes and eDNA for Assessing Biodiversity and Functioning of Re-establishing European Flat Oyster Reefs, Ostrea edulis’
Funder: Natural Environment Research Council | Value: £53,490

COG-MHEAR: Towards cognitively-inspired, 5G-IoT enabled multi-modal hearing aids

2021 - 2026
Embracing the multimodal nature of speech presents both opportunities and challenges for hearing assistive technology: on the one hand there are opportunities for the design of new multimodal audio-vi...
Funder: Engineering and Physical Sciences Research Council | Value: £3,258,999

Improving Science-Informed Crab Fisheries Management in Brazil

2020 - 2021
The project offers a unique opportunity to engage with, actively contribute to and learn from a UK-Brazilian applied research project investigating the reproductive rhythmicity of the mangrove crab Uc...
Funder: Natural Environment Research Council | Value: £2,900

Hyperheuristics for infrastructure system optimisation

2020 - 2020
Continuum Industries novel software tech allows engineers to automate their work and evaluate millions of possible combinations of design parameters. Primary application lies in linear infrastructure ...
Funder: Data Lab | Value: £19,599

Towards Guided Self-Organisation in Artificial Complex Systems: A Swarm Robotics Case Study

2020 - 2024
Swarm robotics refers to the design and coordination of large numbers of simple physical robots. Uses include environmental applications such as pollution monitoring in the oceans using aquatic robots...
Funder: Royal Society | Value: £11,500

KTP: Intelligent Agents

2019 - 2022
Improving customer experience through intelligent workflow
Funder: Innovate UK | Value: £268,152

Production of final version smartphone application and data queries for citizen science research in Brazil to improve mangrove crab fisheries management

2017 - 2018
Production of final version smartphone application and data queries for citizen science research in Brazil to improve mangrove crab fisheries management.
Funder: Marine Alliance for Science & Technology for Scotland (Hosted by St Andrew's University) | Value: £1,200

Ensembles for Optimisation

2015 - 2016
Optimisation – finding cost-effective or high-performing solutions - is a key economic driver for business today. However, academic literature on search-based optimisation techniques reflects an escal...
Funder: Leverhulme Trust | Value: £34,465

FOCAS

2013 - 2016
FOCAS is a coordination action in the area of collective adaptive systems. It provides increased visibility to the research carried out by projects funded by the FOCAS FET Proactive Initiative and oth...
Funder: European Commission | Value: £639,999

Life Long Learning Hyper Heuristic Optimisation

2012 - 2015
This project aims to improve the current state of the art in developing optimisation tools which are relevant and acceptable to industry. This will be achieved by addressing industrial current concer...
Funder: Engineering and Physical Sciences Research Council | Value: £238,068
7 results

From algorithm selection to generation using deep learning

2018 - 2022
Mhd Rateb Mhd Ziad Alissa | Director of Studies: Dr Kevin Sim | Second Supervisor: Prof Emma Hart

Investigating and understanding the theoretical constructs and technical impactors on immersive dome user experience

2016 - 2019
Michael McKellar | Director of Studies: Dr Oli Mival | Second Supervisor: Prof David Benyon

The evolutionary iron law of oligarchy

2016 - 2020
Explaining the origin and the evolution of cooperation has been a major challenge in many scientific fields. One of the outstanding species are humans, who are ca...
Cedric Perret | Director of Studies: Dr Simon Powers | Second Supervisor: Prof Emma Hart

Visualisation techniques to facilitate argument exploration

2015 - 2020
Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially...
Dana Khartabil | Director of Studies: Dr Simon Wells | Second Supervisor: Prof Jessie Kennedy

Towards a unified method to synthesising scenarios and solvers in combinatorial optimisation via graph-based approaches

2015 - 2020
Christopher Stone | Director of Studies: Prof Emma Hart | Second Supervisor: Prof Ben Paechter

The meeting journey: Supporting the design of interaction within co-located, collaborative device ecologies

2013 - 2019
I am currently working on a PhD programme in the Centre for Interaction Design, supervised by...
Aurelien Ammeloot | Director of Studies: Prof David Benyon | Second Supervisor: Dr Oli Mival

Mango: A model-driven approach to Engineering Green Mobile Cloud Applications

2012 - 2017
With the growing need of the industry and due to high business demands, there have consequently been high demands of IT pro...
Mr Samuel Chinenyeze | Director of Studies: Prof Xiaodong Liu | Second Supervisor: Prof Ahmed Al-Dubai
13 results

Prof. Emma Hart invited to join Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

16 September 2019
Prof. Emma Hart has been invited by Minister Kate Forbes to join a Scottish Government Steering Group to develop an Artificial Intelligence (AI) strategy for Scotland.

Researchers from Nature-Inspired Intelligent Systems group win Best Paper Award@GECCO 2019

16 July 2019
PhD student Mohamad Alissa with supervisors Dr Kevin Sim and Prof. Emma Hart won the Best Paper award in the ECOM track at GECCO 2019 in Prague for their paper: Algorithm Selection Using Deep Learnin...

Prof . Emma Hart gives interview "An Insider's Guide to Evolutionary Computation"

17 December 2018
Laura van Beers from ContactEngine, a London based company delivering software that enables its customers to proactively engage customers in AI-driven conversations to fulfil their business objective...

Prof. Emma Hart invited to talk at Scotland IS Software Engineering Leader's Forum to discuss SICSA's work on AI

20 November 2018
Prof. Emma Hart gave an invited talk at the monthly meet-up of the Scotland IS Software Engineering forum on behalf of the SICSA AI theme to describe the work taking place across Scottish Universities...

Prof. Emma Hart interviewed in new video released by Sentient AI to provide unique insights to business leaders on the growing applicability of evolutionary computation

13 August 2018
Sentient Technologies, a world leader in artificial intelligence (AI) products based on evolutionary computation, today announced a new video collection that provides unique insights to the burgeonin...

Prof. Emma Hart and Dr Kevin Sim win Bronze Award in International Humies competition for work on predicting wind damage in Forestry

18 July 2018
The Annual Humies prize is awarded at the International Conference on Genetic and Evolutionary Computation for human-competitive results that have been produced by any form of genetic and evolutionar...

Evolutionary Robotics Research Nominated for Best Paper Award

14 July 2018
Prof. Emma Hart, Dr Andreas Steyven and Prof. Ben Paechter have been nominated for a prestigious best paper award at the GECCO 18, Kyoto, Japan for new work in evolving a diverse team of swarm robot...

Prof. Emma Hart invited as a keynote speaker at IJCCI in Funchal, Madeira, November 2017

1 November 2017
The International Joint Conference on Computational Intelligence brings together researchers, engineers and practitioners interested in the field of Computational Intelligence both from theoretical an...

CAVES researchers have 3 papers accepted at GECCO 2017

14 July 2017
Members of the CAVES research group have 3 papers accepted at the world's leading conference on Evolutionary Computing. GECCO 2017 will be held in Berlin from 15-19th July 2017. Accepted papers are: ...

Prof. Emma Hart interview with MIT Press on her new Editor-in-Chief role

17 February 2017
The New Year welcomed Emma Hart to the helm of Evolutionary Computation. She took over the role of Editor-in-Chief from Hans-Georg Beyer (who had assumed the role himself in 2010). Professor Hart ans...