Prof Emma Hart's Outputs (188)

Multi-Modal employee routing with time windows in an urban environment. (2015)
Presentation / Conference Contribution
Urquhart, N. B., Hart, E., & Judson, A. (2015, July). Multi-Modal employee routing with time windows in an urban environment

An urban environment provides a number of challenges and opportunities
for organisations faced with the task of scheduling a mobile
workforce. Given a mixed set of public and private transportation
and a list of scheduling constraints, we seek to... Read More about Multi-Modal employee routing with time windows in an urban environment..

Roll Project Job Shop scheduling benchmark problems. (2015)
Data
Hart, E., & Sim, K. (2015). Roll Project Job Shop scheduling benchmark problems. [Data]. https://doi.org/10.17869/ENU.2015.9365

This document describes two sets of benchmark problem instances for the job shop scheduling problem. Each set of instances is supplied as a compressed (zipped) archive containing a single CSV file for each problem instance using the format described... Read More about Roll Project Job Shop scheduling benchmark problems..

Roll Project Rich Vehicle Routing benchmark problems. (2015)
Data
Hart, E., & Sim, K. (2015). Roll Project Rich Vehicle Routing benchmark problems. [Data]. https://doi.org/10.17869/ENU.2015.9367

This document describes a large set of Benchmark Problem Instances for the Rich Vehicle Routing Problem. All files are supplied as a single compressed (zipped) archive containing the instances, in XML format, an Object-Oriented Model supplied in XSD... Read More about Roll Project Rich Vehicle Routing benchmark problems..

Creating optimised employee travel plans. (2015)
Presentation / Conference Contribution
Urquhart, N. B., & Hart, E. (2015, September). Creating optimised employee travel plans. Paper presented at International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems, EUROGEN-2015

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.

A research agenda for metaheuristic standardization. (2015)
Presentation / Conference Contribution
Hart, E., & Sim, K. (2015, June). A research agenda for metaheuristic standardization. Paper presented at 11th Metaheuristics International Conference

We propose that the development of standardized, explicit, machine-readable descriptions of metaheuris- tics will greatly advance scientific progress in the field. In particular, we advocate a purely functional description of metaheuristics — separat... Read More about A research agenda for metaheuristic standardization..

Collaborative Diffusion on the GPU for Path-Finding in Games (2015)
Presentation / Conference Contribution
McMillan, C., Hart, E., & Chalmers, K. (2015, April). Collaborative Diffusion on the GPU for Path-Finding in Games. Presented at EvoApplications 2015 European Conference on the Applications of Evolutionary Computation, Copenhagen

Exploiting the powerful processing power available on the GPU in many machines, we investigate the performance of parallelised versions of pathfinding algorithms in typical game environments. We describe a parallel implementation of a collaborative d... Read More about Collaborative Diffusion on the GPU for Path-Finding in Games.

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.

Artificial Immune System driven evolution in Swarm Chemistry. (2014)
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..

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..

On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system. (2014)
Presentation / Conference Contribution
Hart, E., & Sim, K. (2014, September). On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system

Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provide robust solutions, capable of being modified in response to changes in the... Read More about On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system..

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.

Designing self-aware adaptive systems: from autonomic computing to cognitive immune networks. (2013)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2013, September). Designing self-aware adaptive systems: from autonomic computing to cognitive immune networks. Presented at IEEE Conference on Self-Organising and Self-Adaptative Systems (SASO)

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..

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..