IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v6y2020i3idhcseit2062167.html

A Comparative Study of Searching and Optimization Techniques in Artificial Intelligence

Author

Listed:
  • Antim Panghal

Abstract

Solving a problem mean looking for a solution, which is best among others. Finding a solution to a problem in Computer Science and Artificial Intelligence is often thought as a process of search through the space of possible solutions. On the other hand in Engineering and Mathematics it is thought as a process of optimization i.e. to find a best solution or an optimal solution for a problem. These reduce search space and improve its efficiency. At each and every step of search,it select which have the least futility. In this paper ,We categorize the different AI search and optimization techniques in a tabular form on the basis of their merits and demerits to make it easy to choose a technique for a particular problem.

Suggested Citation

  • Antim Panghal, 2020. "A Comparative Study of Searching and Optimization Techniques in Artificial Intelligence," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 6(3), pages 72-80, May.
    • Handle: RePEc:jbh:ijsrcs:v6:y2020:i3:id:hcseit2062167
    DOI: 10.32628/CSEIT2062167
    Note: Article URL: https://ijsrcseit.com/CSEIT2062167
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT2062167
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT2062167.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT2062167?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v6:y2020:i3:id:hcseit2062167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.