• DocumentCode
    406173
  • Title

    Evolutionary algorithms for optimization: do we get effective solutions?

  • Author

    Sarker, Ruhul A.

  • Author_Institution
    Sch. of ITEE, New South Wales Univ., Canberra, ACT, Australia
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    404
  • Abstract
    Over the last two decades, evolutionary computation (EC) has shown tremendous success for solving complex real-world problems. Although the great success for EC was first recognized in the 1980s, the researchers in other domain are still confused about the acceptability of evolutionary algorithms (EAs) as optimization tool. The focal point for this confusion is the lack of convincing mathematical foundation, which is the strong basis of all conventional optimisation techniques. In this paper, besides our discussion on the advantages of EC over the conventional mathematical programming techniques, we attempt to answer several fundamental questions, which would help to convince the researchers in other disciplines. We provide facts and figures from the literature and from our own work to answer those questions.
  • Keywords
    evolutionary computation; mathematical programming; complex real-world problems; evolutionary algorithms; evolutionary computation; mathematical foundation; mathematical programming techniques; optimization; Application software; Australia; Computer science; Evolutionary computation; Information technology; Mathematical programming; Operations research; Optimization methods; Parallel processing; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279294
  • Filename
    1279294