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Outputs (226)

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.

A real-world employee scheduling and routing application. (2014)
Presentation / Conference Contribution
Hart, E., Sim, K., & Urquhart, N. B. (2014, July). A real-world employee scheduling and routing application. Presented at GECCO 2014

We describe a hyper-heuristic application developed for a client to find quick, acceptable solutions to Workforce Schedul- ing and Routing problems. An interactive fitness function controlled by the user enables five different objectives to be weight... Read More about A real-world employee scheduling and routing application..

An improved immune inspired hyper-heuristic for combinatorial optimisation problems. (2014)
Presentation / Conference Contribution
Sim, K., & Hart, E. (2014, July). An improved immune inspired hyper-heuristic for combinatorial optimisation problems

The meta-dynamics of an immune-inspired optimisation sys- tem NELLI are considered. NELLI has previously shown to exhibit good performance when applied to a large set of optimisation problems by sustaining a network of novel heuristics. We address th... Read More about An improved immune inspired hyper-heuristic for combinatorial optimisation problems..

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.

Artificial Immune System driven evolution in Swarm Chemistry. (2014)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2014). Artificial Immune System driven evolution in Swarm Chemistry. In Proceedings of IEEE SASO 2014 (40-49). https://doi.org/10.1109/SASO.2014.16

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..

Idiotypic networks for evolutionary controllers in virtual creatures. (2014)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2014, July). Idiotypic networks for evolutionary controllers in virtual creatures

We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respectively the ability to avoid obstacles and to minimise spent energy. We describe... Read More about Idiotypic networks for evolutionary controllers in virtual creatures..

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..

On the role of the AIS practitioner. (2013)
Presentation / Conference Contribution
Hart, E., Read, M., McEwan, C., Aickelin, U., & Greensmith, J. (2013, September). On the role of the AIS practitioner

Cognisant of the gulf between engineers and immunologists that currenty hinders a truly inter-disciplinary approach to the field of Artificial Immune Systems (AIS), we propose a redefinition of the term AIS practitioner, as an individual who iden... Read More about On the role of the AIS practitioner..

Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model. (2013)
Presentation / Conference Contribution
Sim, K., & Hart, E. (2013, July). Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model. Presented at 15th annual conference on Genetic and evolutionary computation

Novel deterministic heuristics are generated using Single Node Genetic Programming for application to the One Dimensional Bin Packing Problem. First a single deterministic heuristic was evolved that minimised the total number of bins used when applie... Read More about Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model..

Learning to solve bin packing problems with an immune inspired hyper-heuristic. (2013)
Presentation / Conference Contribution
Sim, K., Hart, E., & Paechter, B. (2013, September). Learning to solve bin packing problems with an immune inspired hyper-heuristic

Motivated by the natural immune system's ability to defend the body by generating and maintaining a repertoire of antibodies that collectively cover the potential pathogen space, we describe an artificial system that discovers and maintains a reperto... Read More about Learning to solve bin packing problems with an immune inspired hyper-heuristic..

Incorporating emissions models within a multi-objective vehicle routing problem. (2013)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2013, July). Incorporating emissions models within a multi-objective vehicle routing problem. Presented at 15th annual conference companion on Genetic and evolutionary computation

The vehicle routing problem with time windows (VRPTW) has previously been investigated as a multi-objective problem. In this paper estimated carbon emissions is added as an objective alongside the number of vehicles required and distance travelled. W... Read More about Incorporating emissions models within a multi-objective vehicle routing problem..

Using graphical information systems to improve vehicle routing problem instances. (2013)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2013, July). Using graphical information systems to improve vehicle routing problem instances. Presented at 15th annual conference companion on Genetic and evolutionary computation

This paper makes the assertion that vehicle routing rearch has produced increasingly more powerful problem solvers, but has not increased the realism or compexity of typical problem instances. This paper argues that the time has come of use realistic... Read More about Using graphical information systems to improve vehicle routing problem instances..

A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution. (2012)
Presentation / Conference Contribution
Sim, K., Hart, E., & Paechter, B. (2012, September). A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution. Presented at International Conference on Parallel Problem Solving from Nature

A hyper-heuristic for the one dimensional bin packing problem is presented that uses an Evolutionary Algorithm (EA) to evolve a set of attributes that characterise a problem instance. The EA evolves divisions of variable quantity and dimension that r... Read More about A Hyper-Heuristic classifier for one dimensional bin packing problems: Improving classification accuracy by attribute evolution..

An engineering-Informed modelling approach to AIS. (2011)
Presentation / Conference Contribution
Hart, E., & Davoudani, D. (2011). An engineering-Informed modelling approach to AIS. In Proceedings of International Conference on Artificial Immune Systems (ICARIS 2010) (240-253). https://doi.org/10.1007/978-3-642-22371-6_22

A recent shift in thinking in Artificial Immune Systems (AIS) advocates developing a greater understanding of the underlying biological systems that serve as inspiration for engineering such systems by developing abstract computational models of t... Read More about An engineering-Informed modelling approach to AIS..

Planning and optimising organisational travel plans using an evolutionary algorithm. (2011)
Presentation / Conference Contribution
Urquhart, N. B. (2011, April). Planning and optimising organisational travel plans using an evolutionary algorithm. Presented at European Conference on the Applications of Evolutionary Computation

Commuting to the workplace is a highly individualistic experience, especially where the private car is the chosen mode of transport. The costs of using cars with low occupancy rates are significant in environmental terms as well as requiring the prov... Read More about Planning and optimising organisational travel plans using an evolutionary algorithm..

Towards self-aware PerAda systems. (2010)
Presentation / Conference Contribution
Hart, E., & Paechter, B. (2010, July). Towards self-aware PerAda systems

Pervasive Adaptation (PerAda) refers to massive-scale pervasive information and communication systems which are capable of autonomously adapting to highly dynamic and open technological and user contexts. PerAda systems are thus a special case of col... Read More about Towards self-aware PerAda systems..

Symbiotic cognitive networks: a proposal. (2010)
Presentation / Conference Contribution
Rasheed, T., Hart, E., Falconer, R., & Bown, J. (2010, July). Symbiotic cognitive networks: a proposal. Presented at 9th International Conference Artificial Immune Systems ICARIS 2010

We describe the concept of a cognitive network and propose that ecosystems of co-existing networks which are globally energy efficient while providing the expected quality of service can be realised by exploiting two mechanisms which occur in biologi... Read More about Symbiotic cognitive networks: a proposal..

Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. (2009)
Presentation / Conference Contribution
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2009). Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm. . https://doi.org/10.1109/12.67320

A New and efficient Genetic Algorithm (GA) based approach is presented to minimise the number of terms of Mixed Polarity Reed Muller (MPRM) single and multi output incompletely specified Boolean functions. The algorithm determines the allocation of d... Read More about Minimization of incompletely specified mixed polarity Reed Muller functions using genetic algorithm..