What is Cuckoo Search Algorithm

A recently developed meta-heuristic algorithm to solve the optimization problems.

An optimization technique developed by Yang and Deb in 2009. This method inspires parasitic behaviors of Cuckoo species.

An optimization algorithm inspired by the obligate interspecific brood parasitism of some cuckoo species that lay their eggs in the nests of other host birds.

The cuckoo search algorithm (CSA) is inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other bird species. In this behavior of reproduction, there are two possible cases for a cuckoo egg dumped into a host bird nest including: the host bird does not recognize the cuckoo egg and the cuckoo egg will hatch and carry over to the next generation or the host bird identifies the cuckoo egg and either throw it away or abandon its nest to build a new one. The two mentioned phenomena have been inspired in the CSA method for two phases of new solution generation including the exploration phase via Lévy flights (the first phenomenon) and the exploitation phase via replacement of a fraction of eggs (the second phenomenon).

A recently developed meta-heuristic algorithm to solve the optimization problems.

A method of global optimization based on the behaviour of cuckoos was proposed by Yang & Deb (2009) . The breeding behaviour types are, laid their eggs in the host nests; if not detected and destroyed, the eggs are hatched to chicks by the hosts.