Analysis of The Behavior of MGG and JGG As A Selection Model for Real-coded Genetic Algorithms

  • Akimoto Youhei
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
  • Nagata Yuichi
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
  • Sakuma Jun
    Graduate School of Systems and Information Engineering, University of Tsukuba
  • Ono Isao
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
  • Kobayashi Shigenobu
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology

Bibliographic Information

Other Title
  • 実数値GAにおける生存選択モデルとしてのMGGとJGGの挙動解析

Description

In this paper, we focus on analyzing the behavior of the selection models for real-coded genetic algorithms. Recent studies show that Just Generation Gap (JGG) selection model outperforms Minimal Generation Gap (MGG) model when a multi-parental crossover operator based on the hypothesis of the preservation of the statistics of parents is used. However, the validation of JGG selection model is not done yet. To validate the selection method of JGG, we analyze the differences of the behavior of JGG selection model and that of MGG selection model.

Journal

Citations (5)*help

See more

References(5)*help

See more

Related Projects

See more

Details 詳細情報について

Report a problem

Back to top