• DocumentCode
    3726511
  • Title

    Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs

  • Author

    Tobias Ebert;Torsten Fischer;Julian Belz;Tim Oliver Heinz;Geritt Kampmann;Oliver Nelles

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Siegen, Siegen, Germany
  • fYear
    2015
  • Firstpage
    375
  • Lastpage
    382
  • Abstract
    This paper introduces the Extended Deterministic Local Search (EDLS) algorithm for Latin Hypercube (LH) designs. The main goal of the algorithm is to improve an existing algorithm towards a better uniformity of the data distribution, while maintaining a good computational performance. After presenting background information about LH designs and how to assess their quality (choice of loss function), the EDLS algorithm is explained and compared to two other algorithms for LH designs.
  • Keywords
    "Algorithm design and analysis","Optimization","Hypercubes","Approximation algorithms","Data models","Loss measurement","Approximation methods"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, 2015 IEEE Symposium Series on
  • Print_ISBN
    978-1-4799-7560-0
  • Type

    conf

  • DOI
    10.1109/SSCI.2015.63
  • Filename
    7376636
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3726511