Parameter optimisation in the receptor density algorithm

James A. Hilder*, Nick D.L. Owens, Peter J. Hickey, Stuart N. Cairns, David P.A. Kilgour, Jon Timmis, Andy Tyrrell

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

10 Citations (Scopus)


In this paper a system which optimises parameter values for the Receptor Density Algorithm (RDA), an algorithm inspired by T-cell signalling, is described. The parameter values are optimised using a genetic algorithm. This system is used to optimise the RDA parameters to obtain the best results when finding anomalies within a large prerecorded dataset, in terms of maximising detection of anomalies and minimising false-positive detections. A trade-off front between the objectives is extracted using NSGA-II as a base for the algorithm. To improve the run-time of the optimisation algorithm with the goal of achieving real-time performance, the system exploits the inherent parallelism of GPGPU programming techniques, making use of the CUDA language and tools developed by NVidia to allow multiple evaluations of a given data set in parallel.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings
Number of pages14
Publication statusPublished - 2011
Externally publishedYes
Event10th International Conference on Artificial Immune Systems, ICARIS 2011 - Cambridge, United Kingdom of Great Britain and Northern Ireland
Duration: 18 Jul 201121 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6825 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Conference on Artificial Immune Systems, ICARIS 2011
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
Period18 Jul 201121 Jul 2011


  • Artificial Immune Systems
  • CUDA
  • Genetic Algorithms
  • Receptor Density Algorithm


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