All Outputs (150)

Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2010, April). Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. Presented at Applications of evolutionary computation : EvoApplications 2010, Istanbul, Turkey

This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case-study examined is that of the Travelling Salesman Problem (TSP) based upon... Read More about Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem.

Dendritic cell trafficking: from Immunology to Engineering.
Presentation / Conference Contribution
Hart, E., & Davoudani, D. (2009, August). Dendritic cell trafficking: from Immunology to Engineering. Presented at 8th International Conference, ICARIS 2009, York, UK

The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that operate in environments with constraints similar to those faced by the immune s... Read More about Dendritic cell trafficking: from Immunology to Engineering..

On AIRS and clonal selection for machine learning
Presentation / Conference Contribution
McEwan, C., & Hart, E. (2009, August). On AIRS and clonal selection for machine learning. Presented at ICARIS 2009: Artificial Immune Systems, York

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 On AIRS and clonal selection for machine learning.

Impact of selection methods on the diversity of many-objective Pareto set approximations
Presentation / Conference Contribution
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2017, September). Impact of selection methods on the diversity of many-objective Pareto set approximations. Presented at 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Marseille, France

Selection methods are a key component of all multi-objective and, consequently, many-objective optimisation evolutionary algorithms. They must perform two main tasks simultaneously. First of all, they must select individuals that are as close as poss... Read More about Impact of selection methods on the diversity of many-objective Pareto set approximations.

Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme
Presentation / Conference Contribution
Babaagba, K. O., Tan, Z., & Hart, E. (2019, November). Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. Presented at The 5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019), Guangzhou, China

The ability to detect metamorphic malware has generated significant research interest over recent years, particularly given its proliferation on mobile devices. Such malware is particularly hard to detect via signature-based intrusion detection syste... Read More about Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme.

Immuno-engineering
Presentation / Conference Contribution
Timmis, J., Hart, E., Hone, A., Neal, M., Robins, A., Stepney, S., & Tyrrell, A. (2008, September). Immuno-engineering. Presented at IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, Milano, Italy

In this position paper, we outline a vision for a new type of engineering: immuno-engineering, that can be used for the development of biologically grounded and theoretically understood Artificial Immune Systems (AIS). We argue that, like many bio-in... Read More about Immuno-engineering.

An Immune-Inspired Approach to Speckled Computing
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2007, August). An Immune-Inspired Approach to Speckled Computing. Presented at International Conference on Artificial Immune Systems ICARIS 2007, Beijing, China

Speckled Computing offers a radically new concept in information technology that has the potential to revolutionise the way we communicate and exchange information. Specks — minute, autonomous, semi-conductor grains that can sense and compute locally... Read More about An Immune-Inspired Approach to Speckled Computing.

Immunological inspiration for building a new generation of autonomic systems.
Presentation / Conference Contribution
Hart, E., Davoudani, D., & McEwan, C. (2007, October). Immunological inspiration for building a new generation of autonomic systems

Autonomic computing systems of the future will be required to exhibit a number of properties which cannot be engineered using current technologies and algorithms. The most direct inspiration for building such systems is nature, where for example the... Read More about Immunological inspiration for building a new generation of autonomic systems..

Revisiting the Central and Peripheral Immune System
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2007, August). Revisiting the Central and Peripheral Immune System. Presented at ICARIS 2007: International Conference on Artificial Immune Systems, Santos, Brazil

The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applications has led to a diluted interpretation of the immunological models. Resea... Read More about Revisiting the Central and Peripheral Immune System.

A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector
Presentation / Conference Contribution
Hart, E., Sim, K., Gardiner, B., & Kamimura, K. (2017, July). A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. Presented at Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '17

Catastrophic damage to forests resulting from major storms has resulted in serious timber and financial losses within the sector across Europe in the recent past. Developing risk assessment methods is thus one of the keys to finding forest management... Read More about A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector.

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2017, July). An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. Presented at Genetic and Evolutionary Computation Conference - GECCO '17

A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness o... Read More about An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics.

Requirements for getting a robot to grow-up
Presentation / Conference Contribution
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003, September). Requirements for getting a robot to grow-up. Presented at 7th European Conference on Artificial Life, Dortmund, Germany

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 then experimentally investigated. In this paper we discuss a different... Read More about Requirements for getting a robot to grow-up.

Improving street based routing using building block mutations.
Presentation / Conference Contribution
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002, April). Improving street based routing using building block mutations. Presented at Workshops on Applications of Evolutionary Computation EvoWorkshops 2002, Kinsale, Ireland

Street based routing (SBR) is a real-world inspired routing problem that builds routes within an urban area for mail deliveries. The authors have previously attempted to solve this problem using an Evolutionary Algorithm (EA). In this paper the autho... Read More about Improving street based routing using building block mutations..

Clustering Moving Data with a Modified Immune Algorithm
Presentation / Conference Contribution
Hart, E., & Ross, P. (2001, April). Clustering Moving Data with a Modified Immune Algorithm. Presented at Workshops on Applications of Evolutionary Computation EvoWorkshops 2001, Como, Italy

In this paper we present a prototype of a new model for performing clustering in large, non-static databases. Although many machine learning algorithms for data clustering have been proposed, none appear to specifically address the task of clustering... Read More about Clustering Moving Data with a Modified Immune Algorithm.

Street-based routing using an evolutionary algorithm
Presentation / Conference Contribution
Urquhart, N. B., Paechter, B., & Chisholm, K. (2001, April). Street-based routing using an evolutionary algorithm. Presented at Workshops on Applications of Evolutionary Computation EvoWorkshops 2001, Como, Italy

Much research has been carried out into solving routing problems using both Evolutionary Techniques and other methods. In this paper the authors investigate the usage of an Evolutionary Algorithms to solve the Street-Based Routing Problem (SBRP). The... Read More about Street-based routing using an evolutionary algorithm.

Real-world applications of evolutionary computing
Presentation / Conference Contribution
Cagnoni, S., Poli, R., Smith, G. D., Corne, D., Oates, M., Hart, E., Lanzi, P. L., Willem, E. J., Li, Y., Paechter, B., & Fogarty, T. C. (2000, April). Real-world applications of evolutionary computing. Presented at EvoWorkshops 2000, Edinburgh, Scotland

This book constitutes the refereed proceedings of six workshops on evolutionary computation held concurrently as EvoWorkshops 2000 in Edinburgh, Scotland, UK, in April 2000.
The 37 revised papers presented were carefully reviewed and selected by the... Read More about Real-world applications of evolutionary computing.

A systematic investigation of GA performance on jobshop scheduling problems.
Presentation / Conference Contribution
Hart, E., & Ross, P. (2000, April). A systematic investigation of GA performance on jobshop scheduling problems. Presented at EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh

Although there has been a wealth of work reported in the literature on the application of genetic algorithms (GAs) to jobshop scheduling problems, much of it contains some gross over-generalisations, i.e that the observed performance of a GA on a sma... Read More about A systematic investigation of GA performance on jobshop scheduling problems..

Optimising an evolutionary algorithm for scheduling
Presentation / Conference Contribution
Urquhart, N. B., Chisholm, K., & Paechter, B. (2000, April). Optimising an evolutionary algorithm for scheduling. Presented at EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight,, Edinburgh

This paper examines two techniques for setting the parameters of an evolutionary Algorithm (EA). The example EA used for test purposes undertakes a simple scheduling problem. An initial version of the EA was tested utilising a set of parameters that... Read More about Optimising an evolutionary algorithm for scheduling.

A comparison of dominance mechanisms and simple mutation on non-stationary problems.
Presentation / Conference Contribution
Lewis, J., Hart, E., & Ritchie, G. (1998, September). A comparison of dominance mechanisms and simple mutation on non-stationary problems. Presented at 5th International Conference on Parallel Problem Solving from Nature PPSN 1998, Amsterdam

It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the additional information stored in the double chromosome will ensure diversity,... Read More about A comparison of dominance mechanisms and simple mutation on non-stationary problems..

Some observations about GA-based exam timetabling.
Presentation / Conference Contribution
Ross, P., Hart, E., & Corne, D. (1997, August). Some observations about GA-based exam timetabling. Presented at Second International Conference, PATAT’97, Toronto, Canada

Although many people have tried using genetic algorithms (GAs) for exam timetabling, far fewer have done systematic investigations to try to determine whether a GA is a good choice of method or not. We have extensively studied GAs that use one partic... Read More about Some observations about GA-based exam timetabling..