A Hybrid GRASP – Evolutionary Algorithm Approach to Golomb Ruler Search

  • Carlos Cotta
  • Antonio J. Fernández
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3242)


We consider the problem of finding small Golomb rulers, a hard combinatorial optimization task. This problem is here tackled by means of a hybrid evolutionary algorithm (EA). This EA incorporates ideas from greedy randomized adaptive search procedures (GRASP) in order to perform the genotype-to-phenotype mapping. As it will be shown, this hybrid approach can provide high quality results, better than those of reactive GRASP and other EAs.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Carlos Cotta
    • 1
  • Antonio J. Fernández
    • 1
  1. 1.Dept. Lenguajes y Ciencias de la Computación, ETSI InformáticaUniversity of Málaga, Campus de TeatinosMálagaSpain

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