A Review of the Development and Applications of the Cuckoo Search Algorithm

Swarm Intelligence and Bio-Inspired Computation

Volumn , Issue , 2013, Pages 257-271

  Walton, Sean ^a   Hassan, Oubay ^a   Morgan, Kenneth ^a   Brown, M Rowan ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Applications; Cuckoo search; Gradient free optimisation; L vy flight; Search algorithm

Indexed keywords

EID: 84883921803     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-405163-8.00011-9     Document Type: Chapter

References (32)

1. Alkhudhiri A., Darwish N., Hilal N. Membrane distillation: a comprehensive review. Desalination 2012, 287:2-18.
2. Bratton, D., Kennedy, J., 2007. Defining a standard for particle swarm optimization. In: Proceedings of the 2007 IEEE Swarm Intelligence Symposium.
3. Civicioglu P., Besdok E. A conceptual comparison of the cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif. Intell. Rev. 2011, 1-32. .
4. Diez M., Peri D. Robust optimization for ship conceptual design. Ocean Eng. 2010, 37:966-977.
5. Du M.F.Q., Gunzburger M. Centroidal Voronoi Tessellations: applications and algorithms. SIAM Rev. 1999, 41:637-676.
6. Evans B.J., Hassan O., Jones J.W., Morgan K., Remaki L. Computational fluid dynamics applied to the aerodynamic design of a land-based supersonic vehicle. Numer. Methods Partial Differ. Equ. 2011, 27:141-159.
7. Gandomi A.H., Yang X.-S., Alavi A.H. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng. Comput. 2011, 10.1007/s00366-011-0241-y.
8. Gandomi A.H., Talatahari S., Yang X.-S., Deb S. Design optimization of truss structures using cuckoo search algorithm. Struct. Des. Tall Spec. Build. 2012, 10.1002/tal.1033.
9. Ghodrati A., Lotfi S. A hybrid CS/PSO algorithm for global optimization. Proceedings of the Fourth Asian Conference on Intelligent Information and Database Systems 2012, Springer, Berlin/Heidelberg. J.-S. Pan, S.-M. Chen (Eds.).
10. Harlow F.H., Welch J.E. Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Phys. Fluids 1965, 8:2182-2189.
11. Kaveh A., Bakhshpoori T., Ashoory M. An efficient optimization procedure based on cuckoo search algorithm for practical design of steel structures. Int. J. Optim. Civ. Eng. 2012, 2:1-14.
12. Lin J.-H., Lee I.-H. Emotional chaotic cuckoo search for the reconstruction of chaotic dynamics. Latest Advances in Systems Science and Computational Intelligence 2012, WSEAS Press, Wisconsin, USA. N. Mastorakis, V. Mladenov, Z. Bojkovic (Eds.).
13. Mifsud M.J., Shaw S.T., MacManus D.G. A high fidelity low-cost aerodynamic model using proper orthogonal decomposition. Int. J. Numer. Methods Fluids 2010, 63:468-494.
14. Mitchell M. An introduction to Genetic Algorithms 1999, MIT Press, Cambridge, MA, USA. sixth ed.
15. Natarajan, A., Subramanian, S., 2012. Bloom filter optimization using cuckoo search. In: Proceedings of the 2012 International Conference on Computer Communication and Informatics, India.
16. Pavlyukevich I. Lévy flights. Non-local search and simulated annealing. J. Comput. Phys. 2007, 226:1830-1844.
17. Payne R.B., Sorenson M.D., Klitz K. The Cuckoos 2005, Oxford University Press, Oxford, UK.
18. Praveen C., Duvigneau R. Low cost PSO using metamodels and inexact pre-evaluation: application to aerodynamic shape design. Comput. Methods Appl. Mech. Eng. 2009, 198:1087-1096.
19. Salimi H., Giveki D., Soltanshahi M.A., Hatami J. Extended mixture of MLP experts by hybrid of conjugate gradient method and modified cuckoo search. Int. J. Artif. Intell. Appl. 2012, 3.
20. Selvi G., Purusothaman T. Cryptanalysis of simple block ciphers using extensive heuristic attacks. Eur. J. Sci. Res. 2012, 78:198-221.
21. Shatnawi, M., Nasrudin, M.F., 2011. Starting configuration of cuckoo search algorithm using Centroidal Voronoi Tessellations. In: Proceedings of the 11th International Conference on Hybrid Intelligent Systems, Melacca.
22. Speed, E., 2010. Evolving a Mario agent using cuckoo search and Softmax heuristics. In: Proceedings of the Second International IEEE Consumer Electronics Society's Games Innovations Conference.
23. Storn R., Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11:341-359.
24. Vazquez, R.A., 2011. Training spiking neural models using cuckoo search algorithm. In: Proceedings of the 2011 IEEE Congress on Evolutionary Computation.
25. Viswanathan G.M. Levy Flights and superdiusion in the context of biologicalencounters and random searches. Phys. Life Rev. 2008, 5:133-150.
26. Walton, S., Hassan, O., Morgan, K., 2011a. Using proper orthogonal decomposition to reduce the order of optimization problems. In: Wall, G. (Ed.), Proceedings of the 16th International Conference on Finite Elements in Flow Problems, Munich, p. 173.
27. Walton S., Hassan O., Morgan K., Brown M.R. Modified cuckoo search: a new gradient free optimisation algorithm. Chaos, Solitons Fractals 2011, 44:710-718.
28. Walton S., Hassan O., Morgan K. Reduced order mesh optimisation using proper orthogonal decomposition and a modified cuckoo search. Int. J. Numer. Methods Eng 2012, 10.1002/nme.4400.
29. Yang X.-S. Firefly algorithm, Lévy flights and global optimisation. Research and Development in Intelligent Systems XXVI 2010, 209-218. Springer, London. M. Bramer, R. Ellis, M. Petridis (Eds.).
30. Yang X.-S., Deb S. Cuckoo search via Lévy flights. Proceedings of the World Congress on Nature & Biologically Inspired Computing 2009, IEEE Publications, Bangalore, India, pp. 210-214.
31. Yang X.-S., Deb S. Engineering optimisation by cuckoo search. Int. J. Math. Model. Numer. Optim. 2010, 1:330-343.
32. Yildiz A.R. Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. Int. J. Adv. Manuf. Technol 2012, 10.1007/s00170-012-4013-7.