General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms

  • Jörg Lässig
  • Dirk Sudholt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6238)


We present new methods for the running time analysis of parallel evolutionary algorithms with spatially structured populations. These methods are applied to estimate the speed-up gained by parallelization in pseudo-Boolean optimization. The possible speed-up increases with the density of the topology. Surprisingly, even sparse topologies like ring graphs lead to a significant speed-up for many functions while not increasing the total number of function evaluations. We also give practical hints towards choosing the minimum number of processors that gives an optimal speed-up.


Parallel evolutionary algorithms runtime analysis island model spatial structures 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jörg Lässig
    • 1
  • Dirk Sudholt
    • 1
  1. 1.International Computer Science InstituteBerkeleyUSA

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