An overview of artificial immune systems.
Book
Timmis, J., Knight, T., de Castro, L., & Hart, E. (2004)
An overview of artificial immune systems. In R. Paton, H. Bolouri, W. M. L. Holcombe, J. H. Parish, & R. Tateson (Eds.), Computation in Cells and Tissues: Perspectives and Tools of Thought, 51-86. Springer-Verlag
The immune system is highly distributed, highly adaptive, self-organising in nature, maintains a memory of past encounters and has the ability to continually learn about new e...
Exploiting the analogy between the immune system and sparse distributed memory.
Journal Article
Hart, E., & Ross, P. (2002)
Exploiting the analogy between the immune system and sparse distributed memory. Genetic Programming and Evolvable Machines, 4(4), 333-358. doi:10.1023/a:1026191011609
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...
GAVEL - a new tool for genetic algorithm visualization
Journal Article
Ross, P., Hart, E., & Ross, P. (2000)
GAVEL - a new tool for genetic algorithm visualization. IEEE Transactions on Evolutionary Computation, 5(4), 335-348. doi:10.1109/4235.942528
Abstract—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 generationa...
Clustering Moving Data with a Modified Immune Algorithm
Conference Proceeding
Hart, E., & Ross, P. (2001)
Clustering Moving Data with a Modified Immune Algorithm. In E. Boers (Ed.), Applications of Evolutionary Computing, 394-403. https://doi.org/10.1007/3-540-45365-2_41
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 hav...
Scheduling chicken catching - an investigation into the success of a genetic algorithm on a real world scheduling problem.
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
...
A comparison of dominance mechanisms and simple mutation on non-stationary problems.
Conference Proceeding
Lewis, J., Hart, E., & Ritchie, G. (1998)
A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature-PPSN V. , (139-148). https://doi.org/10.1007/BFb0056857
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 add...
Producing robust schedules via an artificial immune system.
Conference Proceeding
Hart, E., Ross, P., & Nelson, J. (1998)
Producing robust schedules via an artificial immune system. In Proceedings of International Conference on Evolutionary Computing, 464-469. https://doi.org/10.1109/ICEC.1998.699852
This paper describes an artificial immune system (AIS) approach
to producing robust schedules for a dynamic jobshop
scheduling problem in which jobs arrive continually,
and th...
Solving a real-world problem using an evolving heuristically driven schedule builder.
Journal Article
Hart, E., Ross, P. & Nelson, J. (1997)
Solving a real-world problem using an evolving heuristically driven schedule builder. Evolutionary Computation. 6, 61-80. doi:10.1162/evco.1998.6.1.61. ISSN 1063-6560
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 chick...