• Login
    Browsing School of Computer Science and Informatics by Author 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • Browsing School of Computer Science and Informatics by Author
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • Browsing School of Computer Science and Informatics by Author
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browsing School of Computer Science and Informatics by Author "Zeng, Sanyou"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Sort by:

    Order:

    Results:

    Now showing items 1-3 of 3

    • title
    • publication date
    • submission date
    • ascending
    • descending
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
      • Memory-based multi-population genetic learning for dynamic shortest path problems 

        Diao, Yiya; Li, Changhe; Zeng, Sanyou; Mavrovouniotis, Michalis; Yang, Shengxiang (Conference)
        This paper proposes a general algorithm framework for solving dynamic sequence optimization problems (DSOPs). The framework adapts a novel genetic learning (GL) algorithm to dynamic environments via a clustering-based ...
      • Multi-population methods in unconstrained continuous dynamic environments: the challenges 

        Li, Changhe; Nguyen, T. T.; Yang, Ming; Yang, Shengxiang; Zeng, Sanyou (Article)
        The multi-population method has been widely used to solve unconstrained continuous dynamic optimization problems with the aim of maintaining multiple populations on different peaks to locate and track multiple changing ...
      • A novel multi-objective evolutionary algorithm based on space partitioning 

        Wu, Xiaofang; Li, Changhe; Zeng, Sanyou; Yang, Shengxiang (Conference)
        To design an e ective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs; 2) the ...

        Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
        DMU LIbrary
         

         

        Browse

        All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

        My Account

        Login

        Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
        DMU LIbrary