Application of artificial bee colony algorithm for structural topology optimization

Chae Ho Lee, Ji Yong Park, Jae Yong Park, Seog Young Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are first adopted for structural topology optimization. The objective of the paper is to examine the effectiveness and applicability of the suggested ABCA in structural topology optimization. This paper describes considerable modifications made to the ABCA in order to solve discrete topology optimization problems. The desirable conclusions are obtained through the results of the examples based on the suggested ABCA.

Original languageEnglish
Title of host publicationProceedings - 2012 8th International Conference on Natural Computation, ICNC 2012
Pages1023-1025
Number of pages3
DOIs
StatePublished - 2012 Sep 18
Event2012 8th International Conference on Natural Computation, ICNC 2012 - Chongqing, China
Duration: 2012 May 292012 May 31

Publication series

NameProceedings - International Conference on Natural Computation
ISSN (Print)2157-9555

Other

Other2012 8th International Conference on Natural Computation, ICNC 2012
CountryChina
CityChongqing
Period12/05/2912/05/31

Keywords

  • Artificial bee colony algorithm
  • Finite element method
  • Roulette wheel method
  • Topology optimization

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    Lee, C. H., Park, J. Y., Park, J. Y., & Han, S. Y. (2012). Application of artificial bee colony algorithm for structural topology optimization. In Proceedings - 2012 8th International Conference on Natural Computation, ICNC 2012 (pp. 1023-1025). [6234632] (Proceedings - International Conference on Natural Computation). https://doi.org/10.1109/ICNC.2012.6234632