Cuckoo search (CS) was introduced by Xin-She Yang and Suash Deb in 2009, and it has
attracted great attention due to its promising efficiency in solving many optimization …

Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant
developments have been made since its introduction in 2009. CS has many advantages due …

Cuckoo search (CS) is a recently developed meta-heuristic, which has shown good search
abilities on many optimization problems. In this paper, we present a hybrid multi-objective …

An antenna array application with high directivity and low sidelobe level (SLL) is an
important technology that can enhance the reliability and validity of a communication …

Cuckoo search (CS) is an excellent population-based algorithm and has shown promising
performance in dealing with single-and multi-objective optimization problems. However, for …

Design of full-band infinite impulse response (IIR) digital differentiator (DD) and digital
integrator (DI) based on the L k-norm and the min-max optimality criteria have been …

Optimization techniques play key role in real world problems. In many situations where
decisions are taken based on random search they are used. But choosing optimal …

Optimization techniques play a major role in real-world problems, As many cases in which
decisions are made are based on random research. But choosing the optimization …

This article presents a study of circular antenna array design and optimization using the
cuckoo search (CS) algorithm. The goal of optimization is to minimize the maximum sidelobe …

This work describes the application of a multiobjective cuckoo search method for
turbomachinery design optimization of an axial pump. Maximization of the total efficiency …