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 :
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