A new adaptive Cuckoo search algorithm

This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo search (CS) for optimization. The main thrust is to decide the step size adaptively from its fitness value without using the Levy distribution. The other idea is to enhance the performance from the point of time and global minima. The performance of ACS against standard benchmark function show that the proposed algorithm converges to best solution with less time than Cuckoo search.