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| Cuckoo Search× | Harmony Search× | |
|---|---|---|
| Campo | Ottimizzazione | Ottimizzazione |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2009 | 2001 |
| Ideatore≠ | — | Zong Woo Geem, Joong Hoon Kim, G. V. Loganathan |
| Tipo≠ | Population-based metaheuristic / swarm intelligence | Metaheuristic population-based optimization |
| Fonte seminale≠ | Yang, 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 ↗ |
| Alias | Guguk Kuşu Araması (Cuckoo Search), CS algorithm, Cuckoo Search via Lévy Flights | HS algorithm, Harmoni Araması (Harmony Search), music-inspired optimization |
| Correlati≠ | 6 | 5 |
| Sintesi≠ | Cuckoo 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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