Research Output
A GA evolving instructions for a timetable builder.
  In this work we present a Genetic Algorithm for tackling timetabling problems. Our approach uses an indirect solution representation, which denotes a number of instructions for a timetable builder on how to sequentially build a solution. These instructions are composed by a set of predefined heuristics. The ongoing work presented in this abstract was started by the authors at the EvoNet summer school 2001.

  • Date:

    01 January 2002

  • Publication Status:


  • Publisher

    Department of Industrial Engineering

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005 Computer programming, programs & data


Blum, C., Correia, S., Dorigo, M., Paechter, B., Rossi-Doria, O., & Snoek, M. (2001). A GA evolving instructions for a timetable builder. In E. Burke, & P. Causmaecker (Eds.), Proceedings of the Conference on the Practice and Theory of Automated Timetabling (PATAT 2002), 120-123



genetic algorithm; timetabling problems; predefined heuristics;

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