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Journal of Applied Mathematics
Volume 2013, Article ID 438158, 2 pages
http://dx.doi.org/10.1155/2013/438158
Editorial

Harmony Search and Nature-Inspired Algorithms for Engineering Optimization

1Department of Energy and Information Technology, Gachon University, Seongnam 461-701, Republic of Korea
2Department of Design Engineering and Mathematics, Middlesex University, London NW4 4BT, UK
3The Australian School of Business, The University of New South Wales, Sydney, NSW 2052, Australia

Received 7 November 2013; Accepted 7 November 2013

Copyright © 2013 Zong Woo Geem et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z. W. Geem, J. H. Kim, and G. V. Loganathan, “A new heuristic optimization algorithm: harmony search,” Simulation, vol. 76, no. 2, pp. 60–68, 2001. View at Publisher · View at Google Scholar · View at Scopus
  2. Z. W. Geem, Music-Inspired Harmony Search Algorithm, Springer, Heidelberg, Germany, 2009.
  3. Z. W. Geem, “Optimal cost design of water distribution networks using harmony search,” Engineering Optimization, vol. 38, no. 3, pp. 259–280, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Ouaarab, B. Ahiod, and X. S. Yang, “Discrete cuckoo search algorithm for the travelling salesman problem,” Neural Computing and Applications, 2013. View at Publisher · View at Google Scholar
  5. X.-S. Yang, “Firefly algorithms for multimodal optimization,” in Stochastic Algorithms: Foundations and Applications, vol. 5792 of Lecture Notes in Computer Science, pp. 169–178, Springer, Berlin, Germany, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  6. X.-S. Yang and S. Deb, “Engineering optimisation by cuckoo search,” International Journal of Mathematical Modelling and Numerical Optimisation, vol. 1, no. 4, pp. 330–343, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  7. X. S. Yang, M. Karamanoglu, and X. S. He, “Flower pollination algorithm: a novel approach for multiobjective optimization,” Engineering Optimization, 2013. View at Publisher · View at Google Scholar