Hybrid real-coded mutation for genetic algorithms applied to graph layouts

  • Authors:
  • Dana Vrajitoru;Jason DeBoni

  • Affiliations:
  • Indiana University South Bend;Indiana University South Bend

  • Venue:
  • GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
  • Year:
  • 2005

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Abstract

In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem. We introduce several forms of mutation, some of which being specific to this problem, and show that the choice of this operator can have a great impact on the performance of the algorithm.