Volume 9 Number 6
December 2012
Article Contents
Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami. Fuzzy Genetic Sharing for Dynamic Optimization. International Journal of Automation and Computing, vol. 9, no. 6, pp. 616-626 , 2012. doi: 10.1007/s11633-012-0687-4
Cite as: Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami. Fuzzy Genetic Sharing for Dynamic Optimization. International Journal of Automation and Computing, vol. 9, no. 6, pp. 616-626 , 2012. doi: 10.1007/s11633-012-0687-4

Fuzzy Genetic Sharing for Dynamic Optimization

Author Biography:
  • Abdelaziz Bouroumi graduated from Mohammed V Agdal University (UM5A) of Rabat, Morocco in 1984. He received the M. Sc.

  • Corresponding author: Khalid Jebari
  • Received: 2011-07-29
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Abstract Views (5420) PDF downloads (2065) Citations (0)

Fuzzy Genetic Sharing for Dynamic Optimization

  • Corresponding author: Khalid Jebari

Abstract: Recently, genetic algorithms (GAs) have been applied to multi-modal dynamic optimization (MDO). In this kind of optimization, an algorithm is required not only to find the multiple optimal solutions but also to locate a dynamically changing optimum. Our fuzzy genetic sharing (FGS) approach is based on a novel genetic algorithm with dynamic niche sharing (GADNS). FGS finds the optimal solutions, while maintaining the diversity of the population. For this, FGS uses several strategies. First, an unsupervised fuzzy clustering method is used to track multiple optima and perform GADNS. Second, a modified tournament selection is used to control selection pressure. Third, a novel mutation with an adaptive mutation rate is used to locate unexplored search areas. The effectiveness of FGS in dynamic environments is demonstrated using the generalized dynamic benchmark generator (GDBG).

Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami. Fuzzy Genetic Sharing for Dynamic Optimization. International Journal of Automation and Computing, vol. 9, no. 6, pp. 616-626 , 2012. doi: 10.1007/s11633-012-0687-4
Citation: Khalid Jebari, Abdelaziz Bouroumi and Aziz Ettouhami. Fuzzy Genetic Sharing for Dynamic Optimization. International Journal of Automation and Computing, vol. 9, no. 6, pp. 616-626 , 2012. doi: 10.1007/s11633-012-0687-4
Reference (26)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return