Improved Cuckoo Search Algorithm for Global Optimization

Document Type: Research Paper

Authors

University of Sistan and Baluchestan

Abstract

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.

Keywords