Outputs (31)

Use of machine learning techniques to model wind damage to forests (2018)
Journal Article
Hart, E., Sim, K., Kamimura, K., Meredieu, C., Guyon, D., & Gardiner, B. (2019). Use of machine learning techniques to model wind damage to forests. Agricultural and forest meteorology, 265, 16-29. https://doi.org/10.1016/j.agrformet.2018.10.022

This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at risk of damage in storms. Models based on these techniques were developed i... Read More about Use of machine learning techniques to model wind damage to forests.

Selection methods and diversity preservation in many-objective evolutionary algorithms (2018)
Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018). Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009

Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two main tasks simultaneously. First, it has to promote convergence by selecti... Read More about Selection methods and diversity preservation in many-objective evolutionary algorithms.

Artificial Immunology for Collective Adaptive Systems Design and Implementation (2016)
Journal Article
Capodieci, N., Hart, E., & Cabri, G. (2016). Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems, 11(2), 1-25. https://doi.org/10.1145/2897372

Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal with an unpredictable and changing environment. Existing frameworks for engin... Read More about Artificial Immunology for Collective Adaptive Systems Design and Implementation.

The Cost of Communication: Environmental Pressure and Survivability in mEDEA (2015)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2015, July). The Cost of Communication: Environmental Pressure and Survivability in mEDEA. Presented at GECCO ’15

We augment the mEDEA algorithm to explicitly account for
the costs of communication between robots. Experimental
results show that adding a costs for communication exerts
environmental pressure to implicitly select for genomes that
maintain high... Read More about The Cost of Communication: Environmental Pressure and Survivability in mEDEA.

Designing self-aware adaptive systems: from autonomic computing to cognitive immune networks. (2013)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2013). Designing self-aware adaptive systems: from autonomic computing to cognitive immune networks. In Proceedings of SASO Workshops 2013. https://doi.org/10.1109/SASOW.2013.17

An autonomic system is composed of ensembles of heterogeneous autonomic components in which large sets of components are dynamically added and removed. Nodes within such an ensemble should cooperate to achieve system or human goals, and systems are e... Read More about Designing self-aware adaptive systems: from autonomic computing to cognitive immune networks..

An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics. (2013)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2013, September). An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics

We describe an immune inspired approach to achieve self-expression within an ensemble, i.e. enabling an ensemble of autonomic components to dynamically change their coordination pattern during the runtime execution of a given task. Building on previo... Read More about An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics..

Boosting the Immune System (2008)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2008). Boosting the Immune System. In Artificial Immune Systems (316-327). https://doi.org/10.1007/978-3-540-85072-4_28

Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or modelling biologically plausible dynamical systems, with little overlap between. Although the balance is la... Read More about Boosting the Immune System.

A role for immunology in 'next generation' robots. (2003)
Presentation / Conference Contribution
Hart, E., Ross, P., Webb, A., & Lawson, A. (2003). A role for immunology in 'next generation' robots. In J. Timmis, P. Bentley, & E. Hart (Eds.), Artificial Immune Systems. ICARIS 2003 (46-56). https://doi.org/10.1007/978-3-540-45192-1_5

Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is experimentally investigated. A more interesting research question is ho... Read More about A role for immunology in 'next generation' robots..

Requirements for getting a robot to grow up. (2003)
Presentation / Conference Contribution
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003). Requirements for getting a robot to grow up.

Controlling a simulated Khepera with an XCS classifier system with memory. (2003)
Presentation / Conference Contribution
Webb, A., Hart, E., Ross, P., & Lawson, A. (2003). Controlling a simulated Khepera with an XCS classifier system with memory.

Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of action. One technique for addressing this problem is to use additional interna... Read More about Controlling a simulated Khepera with an XCS classifier system with memory..

A GA evolving instructions for a timetable builder. (2002)
Presentation / Conference Contribution
Blum, C., Correia, S., Dorigo, M., Paechter, B., Rossi-Doria, O., & Snoek, M. (2002, August). A GA evolving instructions for a timetable builder. Presented at PATAT 2002

In this work we present a Genetic Algorithm for tackling timetabling problems. Our approach uses an indirect solution representation, which denotes a number of instructions for a timetable builder on how to sequentially build a solution. These instru... Read More about A GA evolving instructions for a timetable builder..

Exploiting the analogy between immunology and sparse distributed memory. (2002)
Presentation / Conference Contribution
Hart, E., & Ross, P. (2002). Exploiting the analogy between immunology and sparse distributed memory. In J. Timmis, & P. J. Bentley (Eds.), ICARIS 2002 : 1st International Conference on Artificial Immune Systems (59-67)

The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for clustering non-stationary data based on a combination of salient features... Read More about Exploiting the analogy between immunology and sparse distributed memory..

A local search for the timetabling problem. (2002)
Presentation / Conference Contribution
Rossi-Doria, O., Blum, C., Knowles, J., Sampels, M., Socha, K., & Paechter, B. (2002, August). A local search for the timetabling problem. Presented at PATAT 2002

This work is part of the Metaheuristic Network, a European Commission project that seeks to empirically compare the performance of various metaheuristics on different combinatorial optimization problems. In this paper we define a representation, a ne... Read More about A local search for the timetabling problem..

Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. (2000)
Presentation / Conference Contribution
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000, July). Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. Presented at Genetic and Evolutionary Computation Conference (GECCO-2000)

This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction
problems (CSPs). In some approaches, the penalties are set in advance and they do not change during a run. In other appro... Read More about Solving CSPs with evolutionary algorithms using self-adaptive constraint weights..

An immune system approach to scheduling in changing environments. (1999)
Presentation / Conference Contribution
Hart, E., & Ross, P. (1999, July). An immune system approach to scheduling in changing environments. Presented at Genetic and Evolutionary Computation Conference ; GECCO-99

This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require the rapid production of new schedules. The model operates in two phases: In t... Read More about An immune system approach to scheduling in changing environments..

A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms
Presentation / Conference Contribution
Montague, K., Hart, E., Paechter, B., & Nitschke, G. (2023, April). A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. Presented at EVOStar 2023, Brno, Czechia

Designing controllers for a swarm of robots such that collabo-rative behaviour emerges at the swarm level is known to be challenging. Evolutionary approaches have proved promising, with attention turning more recently to evolving repertoires of dive... Read More about A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms.

PEDFLOW - A System for Modelling Pedestrian Movement Using occam
Presentation / Conference Contribution
Kerridge, J., & McNair, N. (1999, April). PEDFLOW - A System for Modelling Pedestrian Movement Using occam. Presented at Architectures, Languages and Techniques for Concurrent Systems, University of Keele

Road traffic modelling and simulation is currently, well provided with a variety of packages dealing with the minute detail of road layouts from single isolated junction models to complete network simulations. There has also been much work in develop... Read More about PEDFLOW - A System for Modelling Pedestrian Movement Using occam.

Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication.
Presentation / Conference Contribution
Hart, E., Steyven, A., & Paechter, B. (2015, July). Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication. Presented at Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15

Ensuring the integrity of a robot swarm in terms of maintaining
a stable population of functioning robots over long
periods of time is a mandatory prerequisite for building more
complex systems that achieve user-defined tasks. mEDEA
is an environ... Read More about Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication..

Security, privacy and safety evaluation of dynamic and static fleets of drones
Presentation / Conference Contribution
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017, September). Security, privacy and safety evaluation of dynamic and static fleets of drones. Presented at 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or Cyber-Physical Systems (CPS). One stand-out example are those systems based... Read More about Security, privacy and safety evaluation of dynamic and static fleets of drones.

Artificial Immune System driven evolution in Swarm Chemistry.
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2014, September). Artificial Immune System driven evolution in Swarm Chemistry. Presented at IEEE Conference on Self-Organising and Self-Adaptative Systems (SASO)

Morphogenetic engineering represents an interesting field in which models, frameworks and algorithms can be tested in order to study how self-* properties and emergent behaviours can arise in potentially complex and distributed systems. In this field... Read More about Artificial Immune System driven evolution in Swarm Chemistry..