Evolutionary Dynamics of Genetic Algorithms on Fitness Landscapes with Neutral Networks-A Case Study of Evolutionary Robotics Problems-

DOI Web Site 2 Citations 31 References

Bibliographic Information

Other Title
  • ニュートラルネットワークを含む適応度景観における遺伝的アルゴリズムの進化ダイナミクス―進化ロボティクスでの検証
  • ニュートラル ネットワーク オ フクム テキオウド ケイカン ニ オケル イデンテキ アルゴリズム ノ シンカ ダイナミクス シンカ ロボティクス デノ ケンショウ
  • A Case Study of Evolutionary Robotics Problems
  • 進化ロボティクスでの検証

Search this article

Description

Neutral networks, which occur in fitness landscapes containing neighboring points of equal fitness, have attracted much research interest in recent years. In our recent papers, we have shown that, in the case of simple test functions, the mutation rate of a genetic algorithm is an important factor for improving the speed at which a population moves along a neutral network. Our results also suggested that the benefits of the variable mutation rate strategy used by the operon-GA increase as the ruggedness of the landscapes increases. In this paper, we conducted a series of computer simulations with evolutionary robotics (ER) problems in order to investigate whether our previous results are applicable to this problem domain. The evolutionary dynamics we observed were consistent with those observed in our previous experiments, confirming that the variable mutation rate strategy is also beneficial to the ER problems.

Journal

Citations (2)*help

See more

References(31)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top