Cuckoo Search Algorithm
A. Vinotha Vasuki · 2020
Metaheuristic algorithms are very powerful in solving complex real-life problems since they are inspired by natural phenomena. Intensification and diversification lead to good exploitation and exploration properties of the algorithm which are necessary for intense local search and diversified global search. The cuckoo search (CS) optimization algorithm has been developed based on the brood parasitic behavior of cuckoo birds. It is a metaheuristic algorithm proposed by Xin-She Yang and Suash Deb in 2009. CS is a metaheuristic optimization algorithm based on the obligate parasitic breeding behavior of some species of cuckoo birds. It inculcates the Levy flight movement exhibited by some animals, birds, and insects, including cuckoos. Since the original cuckoo search algorithm was proposed in 2009, several variants of the algorithm have been developed by various researchers working in the area of swarm intelligence. The discrete cuckoo search algorithm is a variant that has been proposed to solve combinatorial optimization problems like the traveling salesman problem.