Skip to main content

Approach to Solve a Criteria Problem of the ABC Algorithm Used to the WBDP Multicriteria Optimization

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

This article describes the use of the bees algorithm for optimization of the multi-object structure of a welded beam. This problem has been used as a benchmark of the bees algorithm. This article presents an approach to improve the ABC algorithm criteria used for the WBDP multicriteria optimization. The contents of the article show the analysis of the problem, conducted based on the mathematical calculations of the beam dimensions. The further part constitutes a comparison of the received results with the results of the ABC operation. Based on the standards, an additional criterion was established, which verifies the correctness of the results.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Macko, M.: Economic-energetic analysis of multi edge comminution of polymer recyclates

    Google Scholar 

  2. Macko, M.: Metoda doboru rozdrabniaczy wielokrawędziowych do przeróbki materiałów polimerowych

    Google Scholar 

  3. Czerniak, J.M., Apiecionek, Ł., Zarzycki, H.: Application of ordered fuzzy numbers in a new OFNAnt algorithm based on ant colony optimization. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 259–270. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  4. Czerniak, J.: Evolutionary approach to data discretization for rough sets theory. Fundamenta Informaticae 92(1), 43–61 (2009)

    MathSciNet  Google Scholar 

  5. Popielarski, W.: Bee algorithms in optimization of task scheduling for flow shop model. Studies and Materials in Applied Computer Science 2(2), 47–54 (2010)

    Google Scholar 

  6. Flizikowski, J., Macko, M., Czerniak, J., Mrozinski, A.: Implementation of genetic algorithms into development of mechatronic multi-edgeís grinder design. In: ASME 2011 International Mechanical Engineering Congress and Exposition, Denver, Colorado, USA, November 11-17. Dynamic Systems and Control; Mechatronics and Intelligent Machines, vol. 7, pp. 1227–1235. ASME (2011)

    Google Scholar 

  7. Faluyi, F., Arum, C.: Design optimization of plate girder using generalized reduced gradient and constrained artificial bee colony algorithms. International Journal of Emerging Technology and Advanced Engineering 2(7), 304–312 (2012)

    Google Scholar 

  8. Deb, K.: An efficient constraint-handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186(0045-7825), 311–338 (2000)

    Article  MATH  Google Scholar 

  9. Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Engineering Faculty, Computer Engineering Department, Erciyes University, Turkey (2005)

    Google Scholar 

  10. Basturk, B., Karaboga, D.: An artificial bee colony (abc) algorithm for numeric function optimization. In: IEEE Swarm Intelligence Symposium, Indianapolis, Indiana, USA (2006)

    Google Scholar 

  11. Kumar, P., Pant, M., Singh, V.: Differential evolution with interpolation based mutation operators for engineering design optimization. Advances in Mechanical Engineering and its Applications 2(3), 221–231 (2012)

    Google Scholar 

  12. Anonymous: Values of the coefficients of the weld static strength, http://www.pkm.edu.pl/index.php/polocenia-obl/spawane-obl/351-01050201

  13. Karaboga, D., Basturk, B.: On the performance of artificial bee colony (abc) algorithm. Applied Soft Computing 8(1), 687–697 (2008)

    Article  Google Scholar 

  14. Karaboga, D., Basturk, B.: Artificial bee colony (abc) optimization algorithm for solving constrained optimization problems. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 789–798. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Anonymous: Admissible stresses in standard structural steels, http://www.pkm.edu.pl/index.php/07/stale/64-07010202

  16. Pham, D., Ghanbarzadeh, A.: Multi-objective optimisation using the bees algorithm. In: 3rd International Virtual Conference on Intelligent Production Machines and Systems (IPROMS 2007), Whittles, Dunbeath, Scotland, vol. 242, pp. 111–116 (2007)

    Google Scholar 

  17. Tuba, M., Bacanin, N., Stanarevic, N.: Adjusted artificial bee colony (abc) algorithm for engineering problems. WSEAS Transactions on Computers 11(4), 111–120 (2012)

    Google Scholar 

  18. Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical a powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. Journal of Global Optimization 39, 459–471 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  19. Tuba, M., Bacanin, N., Stanarevic, N.: Guided artificial bee colony algorithm. In: Proceedings of the 5th European Conference on European Computing Conference, ECC 2011, pp. 398–403 (2011)

    Google Scholar 

  20. PN-90/B03200 Steel structures. Static calculation and designing

    Google Scholar 

  21. Rekliatis, G., Ravindrab, A., Ragsdell, K.: Engineering Optimisation Methods and Applications. Wiley, New York (1983)

    Google Scholar 

  22. Czerniak, J., Angryk, R.: Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases. International Journal of Approximate Reasoning 51(8), 1499–1502 (2010)

    Google Scholar 

  23. PN-EN 1990 Structure designing basics

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dawid Ewald .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ewald, D., Czerniak, J.M., Zarzycki, H. (2015). Approach to Solve a Criteria Problem of the ABC Algorithm Used to the WBDP Multicriteria Optimization. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11313-5_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics