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An Introduction of Krill Herd Algorithm for Engineering Optimization

Author(s):

Medium: journal article
Language(s): Latvian
Published in: Journal of Civil Engineering and Management, , n. 3, v. 22
Page(s): 302-310
DOI: 10.3846/13923730.2014.897986
Abstract:

A new metaheuristic optimization algorithm, called Krill Herd (KH), has been recently proposed by Gandomi and Alavi (2012). In this study, KH is introduced for solving engineering optimization problems. For more verification, KH is applied to six design problems reported in the literature. Further, the performance of the KH algorithm is comĀ­pared with that of various algorithms representative of the state-of-the-art in the area. The comparisons show that the results obtained by KH are better than the best solutions obtained by the existing methods.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3846/13923730.2014.897986.
  • About this
    data sheet
  • Reference-ID
    10354449
  • Published on:
    13/08/2019
  • Last updated on:
    13/08/2019
 
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