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- Cuckoo_search abstract "Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Debin 2009. It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuckoos. For example, if a host bird discovers the eggs are not their own, it will either throw these alien eggs away or simply abandon its nest and build a new nest elsewhere. Some cuckoo species such as the New World brood-parasitic Tapera have evolved in such a way that female parasitic cuckoos are often very specialized in the mimicry in colors and pattern of the eggs of a few chosen host species Cuckoo search idealized such breeding behavior, and thus can be applied for various optimization problems. It seems that it can outperform other metaheuristic algorithms in applications.Cuckoo search (CS) uses the following representations:Each egg in a nest represents a solution, and a cuckoo egg represents a new solution. The aim is to use the new and potentially better solutions (cuckoos) to replace a not-so-good solution in the nests. In the simplest form, each nest has one egg. The algorithm can be extended to more complicated cases in which each nest has multiple eggs representing a set of solutions.CS is based on three idealized rules: Each cuckoo lays one egg at a time, and dumps its egg in a randomly chosen nest; The best nests with high quality of eggs will carry over to the next generation; The number of available hosts nests is fixed, and the egg laid by a cuckoo is discovered by the host bird with a probability . Discovering operate on some set of worst nests, and discovered solutions dumped from farther calculations.In addition, Yang and Deb discovered that the random-walk style search is better performed by Lévy flights rather than simple random walk.The pseudo-code can be summarized as:Objective function: Generate an initial population of host nests; While (t<MaxGeneration) or (stop criterion) Get a cuckoo randomly (say, i) and replace its solution by performing Lévy flights; Evaluate its quality/fitness [For maximization, ]; Choose a nest among n (say, j) randomly; if , Replace j by the new solution; end if A fraction of the worse nests are abandoned and new ones are built; Keep the best solutions/nests; Rank the solutions/nests and find the current best; Pass the current best solutions to the next generation;end whileAn important advantage of this algorithm is its simplicity. In fact, comparing with other population- or agent-based metaheuristic algorithms such as particle swarm optimization and harmony search, there is essentially only a single parameter in CS (apart from the population size ). Therefore, it is very easy to implement.".
- Cuckoo_search wikiPageExternalLink modified-cs.
- Cuckoo_search wikiPageExternalLink 978-3-319-03107-1_14.
- Cuckoo_search wikiPageID "26499237".
- Cuckoo_search wikiPageRevisionID "606447272".
- Cuckoo_search hasPhotoCollection Cuckoo_search.
- Cuckoo_search subject Category:Evolutionary_algorithms.
- Cuckoo_search subject Category:Optimization_algorithms_and_methods.
- Cuckoo_search type Abstraction100002137.
- Cuckoo_search type Act100030358.
- Cuckoo_search type Activity100407535.
- Cuckoo_search type Algorithm105847438.
- Cuckoo_search type Event100029378.
- Cuckoo_search type OptimizationAlgorithmsAndMethods.
- Cuckoo_search type Procedure101023820.
- Cuckoo_search type PsychologicalFeature100023100.
- Cuckoo_search type Rule105846932.
- Cuckoo_search type YagoPermanentlyLocatedEntity.
- Cuckoo_search comment "Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Debin 2009. It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuckoos. For example, if a host bird discovers the eggs are not their own, it will either throw these alien eggs away or simply abandon its nest and build a new nest elsewhere.".
- Cuckoo_search label "Cuckoo search".
- Cuckoo_search label "布谷鸟搜索算法".
- Cuckoo_search sameAs m.0bh7rrl.
- Cuckoo_search sameAs Q5192379.
- Cuckoo_search sameAs Q5192379.
- Cuckoo_search sameAs Cuckoo_search.
- Cuckoo_search wasDerivedFrom Cuckoo_search?oldid=606447272.
- Cuckoo_search isPrimaryTopicOf Cuckoo_search.