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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.

A hyper-heuristic ensemble method for static job-shop scheduling. (2016)
Journal Article
Hart, E., & Sim, K. (2016). A hyper-heuristic ensemble method for static job-shop scheduling. Evolutionary Computation, 24(4), 609-635. https://doi.org/10.1162/EVCO_a_00183

We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance... Read More about A hyper-heuristic ensemble method for static job-shop scheduling..

A Lifelong Learning Hyper-heuristic Method for Bin Packing (2015)
Journal Article
Hart, E., Sim, K., & Paechter, B. (2015). A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evolutionary Computation, 23(1), 37-67. https://doi.org/10.1162/EVCO_a_00121

We describe a novel Hyper-heuristic system which continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; representative problems and heur... Read More about A Lifelong Learning Hyper-heuristic Method for Bin Packing.

A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation (2014)
Journal Article
Segredo, E., Segura, C., León, C., & Hart, E. (2015). A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation. Soft Computing, 19(10), 2927-2945. https://doi.org/10.1007/s00500-014-1454-y

In recent years, Multi-Objective Evolutionary Algorithms (MOEAS) that consider diversity as an objective have been used to tackle single-objective optimisation prob- lems. The ability to deal with premature convergence has been greatly improved with... Read More about A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation.

General and craniofacial development are complex adaptive processes influenced by diversity (2014)
Journal Article
Hart, E., Brook, A. H., Brook-O'Donnell, M., Hone, A., Hughes, T., & Smith, R. (2014). General and craniofacial development are complex adaptive processes influenced by diversity. Australian Dental Journal, 59(S1), 13-22. https://doi.org/10.1111/adj.12158

Complex systems are present in such diverse areas as social systems, economies, ecosystems and Biology and, therefore, are highly relevant to dental research, education and practice. A Complex Adaptive System in biological development is a dynamic pr... Read More about General and craniofacial development are complex adaptive processes influenced by diversity.

This pervasive day: creative Interactive methods for encouraging public engagement with FET research (2011)
Journal Article
Helgason, I., Bradley, J., Egan, C., Paechter, B., & Hart, E. (2011). This pervasive day: creative Interactive methods for encouraging public engagement with FET research. Procedia Computer Science, 7, 207-208. https://doi.org/10.1016/j.procs.2011.09.028

This paper describes a case study of a programme of interactive public engagement activities presented by the PerAda Co-ordination Action project (FET Proactive Initiative on Pervasive Adaptation) [1] in 2011. The intention behind these events was to... Read More about This pervasive day: creative Interactive methods for encouraging public engagement with FET research.

Advances in artificial immune systems (2011)
Journal Article
Hart, E., McEwan, C., Timmis, J., & Hone, A. (2011). Advances in artificial immune systems. Evolutionary Intelligence, 4, 67-68. https://doi.org/10.1007/s12065-011-0058-z

The field of Artificial Immune Systems (AIS) derives inspiration from processes and mechanisms apparent in the biological immune system. After early applications of this paradigm to problems in anomaly detection and classification, the field rapidly... Read More about Advances in artificial immune systems.

On artificial immune systems and swarm intelligence (2010)
Journal Article
Timmis, J., Andrews, P., & Hart, E. (2010). On artificial immune systems and swarm intelligence. Swarm Intelligence, 4(4), 247-273. https://doi.org/10.1007/s11721-010-0045-5

This position paper explores the nature and role of two bio-inspired paradigms, namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are many aspects of AIS that have direct parallels with SI and examine the role of... Read More about On artificial immune systems and swarm intelligence.

Structure versus function: a topological perspective on immune networks (2009)
Journal Article
Hart, E., Bersini, H., & Santos, F. (2009). Structure versus function: a topological perspective on immune networks. Natural Computing, https://doi.org/10.1007/s11047-009-9138-8

Many recent advances have been made in understanding the functional implications of the global topological properties of biological networks through the application of complex network theory, particularly in the area of small-world and scale-free top... Read More about Structure versus function: a topological perspective on immune networks.

Representation in the (Artificial) Immune System (2009)
Journal Article
McEwan, C., & Hart, E. (2009). Representation in the (Artificial) Immune System. Journal of Mathematical Modelling and Algorithms, 8(2), 125-149. https://doi.org/10.1007/s10852-009-9104-6

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. We propose that this dich... Read More about Representation in the (Artificial) Immune System.

Application areas of AIS: The past, the present and the future (2008)
Journal Article
Hart, E., & Timmis, J. (2008). Application areas of AIS: The past, the present and the future. Applied Soft Computing, 8(1), 191-201. https://doi.org/10.1016/j.asoc.2006.12.004

After a decade of research into the area of artificial immune systems, it is worthwhile to take a step back and reflect on the contributions that the
paradigm has brought to the application areas to which it has been applied. Undeniably, there have... Read More about Application areas of AIS: The past, the present and the future.

How affinity influences tolerance in an idiotypic network (2007)
Journal Article
Hart, E., Bersini, H., & Santos, F. C. (2007). How affinity influences tolerance in an idiotypic network. Journal of Theoretical Biology, 249(3), 422-436. https://doi.org/10.1016/j.jtbi.2007.07.019

The mutability of bacteriophages offers a particular advantage in the treatment of bacterial infections not afforded by other antimicrobial therapies. When phage-resistant bacteria emerge, mutation may generate phage capable of exploiting and thus li... Read More about How affinity influences tolerance in an idiotypic network.

Evolutionary scheduling: a review. (2005)
Journal Article
Hart, E., Ross, P., & Corne, D. (2005). Evolutionary scheduling: a review. Genetic Programming and Evolvable Machines, 6, 191-220. https://doi.org/10.1007/s10710-005-7580-7

Early and seminal work which applied evolutionary computing methods to scheduling problems from 1985 onwards laid a strong and exciting foundation for the work which has been reported over the past decade or so. A survey of the current state-of-the-a... Read More about Evolutionary scheduling: a review..

The impact of the shape of antibody recognition regions on the emergence of idiotypic networks. (2005)
Journal Article
Hart, E., & Ross, P. (2005). The impact of the shape of antibody recognition regions on the emergence of idiotypic networks. International Journal of Unconventional Computing, 1, 281-313

One of the components of an AIS algorithm that most distinguishes it from other paradigms is the use of an affinity funciton. However, for the most part, the implications of choosing a suitable matching rule and the likely effects on the algorithm fr... Read More about The impact of the shape of antibody recognition regions on the emergence of idiotypic networks..

Evolutionary Computation Combinatorial Optimization. (2004)
Journal Article
(2004). Evolutionary Computation Combinatorial Optimization. Journal of Mathematical Modelling and Algorithms, 3(4),

Guest Editor of Special issue of Journal of Mathematical Modelling and Algorithms

Exploiting the analogy between the immune system and sparse distributed memory. (2003)
Journal Article
Hart, E., & Ross, P. (2003). Exploiting the analogy between the immune system and sparse distributed memory. Genetic Programming and Evolvable Machines, 4(4), 333-358. https://doi.org/10.1023/a%3A1026191011609

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 the immune system and sparse distributed memory..

GAVEL - a new tool for genetic algorithm visualization (2001)
Journal Article
Hart, E., & Ross, P. (2001). GAVEL - a new tool for genetic algorithm visualization. IEEE Transactions on Evolutionary Computation, 5(4), 335-348. https://doi.org/10.1109/4235.942528

This paper surveys the state of the art in evolutionary algorithm visualization and describes a new tool called GAVEL. It provides a means to examine in a genetic algorithm (GA) how crossover and mutation operations assembled the final result, where... Read More about GAVEL - a new tool for genetic algorithm visualization.

Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem. (1999)
Journal Article
Hart, E., Ross, P., & Nelson, J. (1999). Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem. Annals of Operations Research, 92, 363-380. https://doi.org/10.1023/A%3A1018951218434

Genetic Algorithms (GAs) are a class of evolutionary algorithms that have been successfully
applied to scheduling problems, in particular job-shop and flow-shop type problems
where a number of theoretical benchmarks exist. This work applies a genet... Read More about Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem..

Solving a real-world problem using an evolving heuristically driven schedule builder. (1998)
Journal Article
Hart, E., Ross, P., & Nelson, J. (1998). Solving a real-world problem using an evolving heuristically driven schedule builder. Evolutionary Computation, 6(1), 61-80. https://doi.org/10.1162/evco.1998.6.1.61

This work addresses the real-life scheduling problem of a Scottish company that must produce daily schedules for the catching and transportation of large numbers of live chickens. The problem is complex and highly constrained. We show that it can be... Read More about Solving a real-world problem using an evolving heuristically driven schedule builder..