• DocumentCode
    833554
  • Title

    The EMOO repository: a resource for doing research in evolutionary multiobjective optimization

  • Author

    Coello, Carlos A Coello

  • Author_Institution
    CINVESTAV-IPN, Mexico
  • Volume
    1
  • Issue
    1
  • fYear
    2006
  • Firstpage
    37
  • Lastpage
    45
  • Abstract
    This article briefly describes the evolutionary multi-objective optimization (EMOO) repository, which has become much more than the simple list of bibliographic references that originated it. In its current state, the EMOO repository contains many Web resources, including Ph.D. theses, software, contact information of EMOO researchers and information about EMOO-related events. Such information has become a valuable source for students and researchers interested in this area.
  • Keywords
    Web sites; evolutionary computation; information systems; optimisation; research and development; EMOO repository; Web resources; evolutionary multiobjective optimization; Crystallization; Employment; Europe; Mirrors; Software testing; Time factors; Uniform resource locators; Web page design; Web pages; Writing;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2006.1597060
  • Filename
    1597060
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=833554