Improved Cuckoo Search Algorithm for Global Optimization

The cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. To enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. Normally, the parametersof the cuckoo search are kept constant. This may lead todecreasing the efficiency of the algorithm. To cope with thisissue, a proper strategy for tuning the cuckoo searchparameters is presented. Considering several well-knownbenchmark problems, numerical studies reveal that theproposed algorithm can find better solutions in comparisonwith the solutions obtained by the cuckoo search. Therefore, itis anticipated that the improved cuckoo search algorithm cansuccessfully be applied to a wide range of optimizationproblems.