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Cuckoo Search×Harmony Search×
ÁreaOtimizaçãoOtimização
FamíliaProcess / pipelineProcess / pipeline
Ano de origem20092001
Autor originalZong Woo Geem, Joong Hoon Kim, G. V. Loganathan
TipoPopulation-based metaheuristic / swarm intelligenceMetaheuristic population-based optimization
Fonte seminalYang, X.S. & Deb, S. (2009). Cuckoo Search via Lévy Flights. 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 210-214. IEEE. link ↗Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A New Heuristic Optimization Algorithm: Harmony Search. Simulation, 76(2), 60–68. DOI ↗
Outros nomesGuguk Kuşu Araması (Cuckoo Search), CS algorithm, Cuckoo Search via Lévy FlightsHS algorithm, Harmoni Araması (Harmony Search), music-inspired optimization
Relacionados65
ResumoCuckoo Search (CS) is a population-based metaheuristic optimization algorithm introduced by Xin-She Yang and Suash Deb in 2009. It models the obligate brood-parasitism of cuckoo birds — which lay eggs in other birds' nests — combined with Lévy flight random walks that enable long-range exploration of the search space. The algorithm has proven effective in structural engineering design, machine learning hyperparameter tuning, and other continuous black-box optimization problems.Harmony Search (HS) is a population-based metaheuristic optimization algorithm introduced by Geem, Kim, and Loganathan in 2001. It mimics the improvisation process of jazz musicians seeking a perfect state of harmony, using three operators — memory consideration, pitch adjustment, and random selection — to generate candidate solutions. The algorithm applies to both continuous and discrete variables and has found wide use in engineering design, water distribution network optimization, and combinatorial problems.
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ScholarGateComparar métodos: Cuckoo Search · Harmony Search. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare