Nature-inspired metaheuristic algorithms are considered as the most effective techniques for
solving various optimization problems. This paper provides a briefly review of the key …

This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …

Metaheuristic algorithms, in the field of engineering, have attracted researchers for problem-
solving of complex and non-linear optimization. Many algorithms have been designed to …

In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo
Search (NMS-CS), is proposed. The novelty is in a random walk with step lengths calculated …

Metaheuristic algorithms are popular techniques used to solve several optimization
problems. Among the key algorithms, cuckoo search (CS) is a comparatively novel and …

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 …

Abstract Presently, the Cuckoo Search algorithm is attracting unprecedented attention from
the research community and applications of the algorithm are expected to increase in …

Abstract Although Cuckoo Search (CS) is a quite new nature-inspired metaheuristic
optimization algorithm, it has been extensively used in engineering applications, since it has …

A review of the Cuckoo Search (CS) algorithm, which is within the classification of bio-
inspired algorithms and is based on the breeding parasitism of a bird species called cuckoo …

A new hybrid optimization algorithm, a hybridization of cuckoo search and particle swarm
optimization (CSPSO), is proposed in this paper for the optimization of continuous functions …