The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is suitable for solving optimization problems. To enhance the accuracy and convergence rate of this algorithm, an improved cuckoo search algorithm is proposed in this paper. Normally, the parameters of the cuckoo search are kept constant. This may lead to decreasing the efficiency of the algorithm. To cope with this issue, a proper strategy for tuning the cuckoo search parameters is presented. Considering several well-known benchmark problems, numerical studies reveal that the proposed algorithm can find better solutions in comparison with the solutions obtained by the cuckoo search. Therefore, it is anticipated that the improved cuckoo search algorithm can successfully be applied to a wide range of optimization problems.
Valian, E., Mohanna, S., Tavakoli, S. (2011). Improved Cuckoo Search Algorithm for Global Optimization. International Journal of Communications and Information Technology, 1(1), 31-44. doi: 10.22111/cit.2011.91
MLA
E. Valian; S. Mohanna; S. Tavakoli. "Improved Cuckoo Search Algorithm for Global Optimization". International Journal of Communications and Information Technology, 1, 1, 2011, 31-44. doi: 10.22111/cit.2011.91
HARVARD
Valian, E., Mohanna, S., Tavakoli, S. (2011). 'Improved Cuckoo Search Algorithm for Global Optimization', International Journal of Communications and Information Technology, 1(1), pp. 31-44. doi: 10.22111/cit.2011.91
VANCOUVER
Valian, E., Mohanna, S., Tavakoli, S. Improved Cuckoo Search Algorithm for Global Optimization. International Journal of Communications and Information Technology, 2011; 1(1): 31-44. doi: 10.22111/cit.2011.91
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