A memory scheme for genetic network programming with adaptive mutation

  • Authors:
  • Fengming Ye;Shingo Mabu;Kotaro Hirasawa

  • Affiliations:
  • Waseda University, Kitakyushu, Japan;Waseda University, Kitakyushu, Japan;Waseda University, Kitakyushu, Japan

  • Venue:
  • Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2011

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Abstract

Recently, a new approach named Genetic Network Programming (GNP) has been proposed for especially solving complex problems in dynamic environments. In this paper, we propose a memory scheme for GNP to enhance the performance of GNP and use SARSA learning based adaptive mutation mechanism to guide the GNP evolution process.