Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Algoritmus optimalizace velryb (WOA)× | Optimalizace rojem částic (PSO)× | |
|---|---|---|
| Obor | Optimalizace | Optimalizace |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2016 | 1995 |
| Tvůrce≠ | Seyedali Mirjalili & Andrew Lewis | — |
| Typ≠ | Swarm-based metaheuristic | Population-based metaheuristic / swarm intelligence |
| Původní zdroj≠ | Mirjalili, S. & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51-67. DOI ↗ | Kennedy, J. & Eberhart, R. (1995). Particle Swarm Optimization. IEEE International Conference on Neural Networks (ICNN), 1942-1948. DOI ↗ |
| Další názvy | WOA, Balina Optimizasyon Algoritması (WOA), bubble-net attacking method | PSO, swarm intelligence optimization, Parçacık Sürü Optimizasyonu (PSO) |
| Příbuzné≠ | 5 | 6 |
| Shrnutí≠ | The Whale Optimization Algorithm (WOA) is a swarm-based metaheuristic introduced by Mirjalili and Lewis in 2016. It models the bubble-net hunting strategy of humpback whales, in which a group of whales spirals around prey while gradually tightening the encirclement. The algorithm balances global exploration and local exploitation through a small set of parameters and has become widely used in continuous engineering optimisation problems. | Particle Swarm Optimization (PSO) is a population-based metaheuristic algorithm introduced by Kennedy and Eberhart in 1995, inspired by the collective movement of bird flocks and fish schools. Each candidate solution — called a particle — moves through the search space by updating its velocity and position based on its own best experience and the best experience of the entire swarm, enabling fast convergence across continuous optimization problems. |
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