Giedrius Paulikas

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The distribution of the genetic programming algorithm improves the efficiency of the search for the solution, but additional parameters of this distribution are undesirable. This paper presents the analysis of early experimental results of using flocking to control interactions among the distributed subpopulations so less human intervention is needed The(More)
The rules of swarming intelligence can be applied to govern migration in the distributed genetic programming (DGP) algorithm, but they require modifications. Initial rules are taken from the flocking algorithm and adapted for DGP. As the rule for the alignment of direction is completely discarded and the remaining rules operate on implicit data of(More)
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