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Genetic algorithms with multi-parent recombination

  • A. E. Eiben
  • P. -E. Raué
  • Zs. Ruttkay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 866)

Abstract

We investigate genetic algorithms where more than two parents are involved in the recombination operation. We introduce two multi-parent recombination mechanisms: gene scanning and diagonal crossover that generalize uniform, respecively n-point crossovers. In this paper we concentrate on the gene scanning mechanism and we perform extensive tests to observe the effect of different numbers of parents on the performance of the GA. We consider different problem types, such as numerical optimization, constrained optimization (TSP) and constraint satisfaction (graph coloring). The experiments show that 2-parent recombination is inferior on the classical DeJong functions. For the other problems the results are not conclusive, in some cases 2 parents are optimal, while in some others more parents are better.

Keywords

Genetic Algorithm Travelling Salesman Problem Constraint Satisfaction Problem Graph Coloring Recombination Operator 
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-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • A. E. Eiben
    • 1
  • P. -E. Raué
    • 1
  • Zs. Ruttkay
    • 1
  1. 1.Artificial Intelligence Group Dept. of Mathematics and Computer ScienceVrije Universiteit AmsterdamAmsterdam

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