Research Output

An immune system approach to scheduling in changing environments.

  This paper describes the application of an
arti�cial immune system, (AIS), model to
a scheduling application, in which sudden
changes in the scheduling environment require
the rapid production of new schedules.
The model operates in two phases:
In the �rst phase of the system, the immune
system analogy, in conjunction with
a genetic algorithm, (GA), is used to detect
common patterns amongst scheduling
sequences frequently used by a factory. In
phase II, some of the combinatoric features
of the natural immune system are modelled
in order to use the detected patterns to produce
new schedules, either from scratch or
starting from a partially completed schedule.
The results are compared to those calculated
using an exhaustive search procedure
to generate patterns. The AIS/GA analogy
appears to be extremely promising, in that
schedules corresponding to situations previously
encountered can easily be reconstructed,
and also in that the patterns are shown
to incorporate su�cient information to potentially
construct schedules for previously
unencountered situations.

  • Date:

    30 November 1998

  • Publication Status:

    Published

  • Publisher

    Morgan Kaufmann

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

Citation

Hart, E. & Ross, P. (1998). An immune system approach to scheduling in changing environments. In Banzhaf, W., Daida, J. M., Eiben, A. E., Garzon, M. H., Honavar, V., Jakiela, M. J. & Smith, R. E. (Eds.). Proceedings of the Genetic and Evolutionary Computation Conference, 1559-1565

Authors

Keywords

artificial immune system; scheduling; genetic algorithm;

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