Design Optimization of Structural Engineering Problems Using Adaptive Cuckoo Search Algorithm

This paper proposes an adaptive cuckoo search algorithm (ACSA) for optimization of structural engineering problems. ACSA - an improved cuckoo search algorithm, utilizes an adaptive step size selection strategy its diversification process. This approach improves the convergence characteristic while preserves the balance between intensification and diversification performances in the CSA simultaneously. The effectiveness of the ACSA in solving structural optimization problems is demonstrated in three structural engineering problems. Performance assessment shows that the ACSA outperforms the standard CSA and other methods available in the literature in most of the case studies.