Finding Designs with Genetic Algorithms

  • Daniel Ashlock


In this paper we use simulated evolution to solve three design theoretic problems, direct decomposition of a complete graph into smaller complete graphs, decomposition of a complete graph into smaller complete graphs with difference sets, and the seating of twelve people at three four person tables for multiple nights in an even handed fashion. The paper is intended as a tutorial for someone familiar with design theory but unfamiliar with genetic algorithms.


Genetic Algorithm Mutation Operator Crossover Operator Tournament Selection Direct Decomposition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Daniel Ashlock
    • 1
  1. 1.Mathematics DepartmentIowa State UniversityAmesUSA

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