Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Original Paper
Analysis of The Behavior of MGG and JGG As A Selection Model for Real-coded Genetic Algorithms
Youhei AkimotoYuichi NagataJun SakumaIsao OnoShigenobu Kobayashi
Author information
JOURNAL FREE ACCESS

2010 Volume 25 Issue 2 Pages 281-289

Details
Abstract
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.
Content from these authors
© 2010 JSAI (The Japanese Society for Artificial Intelligence)
Previous article Next article
feedback
Top