A new hybrid cuckoo search and firefly optimization

References

[1] I. Fister, Jr., M. Perc, S. M. Kamal and I. Fister, A review of chaos-based firefly algorithms: Perspectives and research challenges, Appl. Math. Comput. 252 (2015), 155–165. 10.1016/j.amc.2014.12.006Suche in Google Scholar

[2] G. Kanagaraj, S. G. Ponnambalam and N. Jawahar, A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems, Comput. Ind. Eng. 66 (2013), no. 4, 1115–1124. 10.1016/j.cie.2013.08.003Suche in Google Scholar

[3] V. Kelner, F. Capitanescu, O. Léonard and L. Wehenkel, A hybrid optimization technique coupling an evolutionary and a local search algorithm, J. Comput. Appl. Math. 215 (2008), no. 2, 448–456. 10.1016/j.cam.2006.03.048Suche in Google Scholar

[4] M. D. R. Payne, The Cuckoos, Oxford University Press, Oxford, 2005. 10.1093/oso/9780198502135.001.0001Suche in Google Scholar

[5] G. Preet Singh and A. Singh, Comparative study of krill herd, firefly and cuckoo search algorithms for unimodal and multimodal optimization, Int. J. Intell. Syst. Appl. 2 (2014), no. 3, 35–49. 10.5815/ijisa.2014.03.04Suche in Google Scholar

[6] A. Ouaarab, B. Ahiod and X. S. Yang, Discrete cuckoo search algorithm for the travelling salesman problem, Neural Comput. Appl. 24 (2014), no. 7–8, 1659–1669. 10.1007/s00521-013-1402-2Suche in Google Scholar

[7] S. Salcedo-Sanz, Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures, Phys. Rep. 655 (2016), 1–70. 10.1016/j.physrep.2016.08.001Suche in Google Scholar

[8] S. S. Sankalap Arora and S. Singh, A conceptual comparison of firefly algorithm, bat algorithm and cuckoo search, 2013 International Conference on Control Computing Communication & Materials (Allahabad 2013), IEEE Press, Piscataway (2013), 1–4. 10.1109/ICCCCM.2013.6648902Suche in Google Scholar

[9] D. Shilane, J. Martikainen, S. Dudoit and S. J. Ovaska, A general framework for statistical performance comparison of evolutionary computation algorithms, Inform. Sci. 178 (2008), no. 14, 2870–2879. 10.1016/j.ins.2008.03.007Suche in Google Scholar

[10] N. P. N. Suganthan, Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization, Technical Report, Nanyang Technological University, Singapore, 2005. Suche in Google Scholar

[11] D. A. Wood, Hybrid cuckoo search optimization algorithms applied to complex wellbore trajectories aided by dynamic, chaos-enhanced, fat-tailed distribution sampling and metaheuristic profiling, J. Natural Gas Sci. Eng. 34 (2016), no. 1, 236–252. 10.1016/j.jngse.2016.06.060Suche in Google Scholar

[12] X.-S. Yang, Firefly algorithm, Lévy flights and global optimization, Research and Development in Intelligent Systems XXVI, Springer London (2010), 209–218. 10.1007/978-1-84882-983-1_15Suche in Google Scholar

[13] X.-S. Yang and S. Deb, Cuckoo search via Lévy flights, World Congress on Nature and Biologically Inspired Computing (Coimbatore 2009), IEEE Press, Piscataway (2009), 210–214. 10.1109/NABIC.2009.5393690Suche in Google Scholar

[14] X.-S. Yang and M. Karamanoglu, Swarm Intelligence and Bio-Inspired Computation: An Overview, Elsevier, Amsterdam, 2013. 10.1016/B978-0-12-405163-8.00001-6Suche in Google Scholar

[15] Y. W. Zhang, L. Wang and Q. D. Wu, Dynamic adaptation cuckoo search algorithm, Control Decision 29 (2014), no. 4, 617–622. Suche in Google Scholar