ScholarGate
Msaidizi
Machine learningSwarm Intelligence

Kisajili cha Utafutaji wa Jellyfish

Kisajili cha Utafutaji wa Jellyfish (JSO) ni algorithm ya metaheuristic iliyoongozwa na baiolojia iliyoletwa na Shi et al. mwaka 2022, kulingana na mwendo na tabia ya ulaji wa samaki aina ya jellyfish katika mazingira ya bahari. Samaki aina ya jellyfish huonyesha tabia mbili tofauti: kuelea kwa bahati nasibu na mikondo ya bahari (uchunguzi) na kuogelea kwa bidii kuelekea vyanzo vya chakula (utumiaji). JSO hunasa tabia hizi ili kuunda usawa mzuri kati ya utafutaji wa jumla na uboreshaji wa ndani.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Shi, X., Sun, Y., Zhan, Z. H., Yuen, K. F., & Zhang, J. (2022). Jellyfish search optimizer: A new bio-inspired metaheuristic algorithm for solving optimization tasks. Neural Computing and Applications, 34(10), 7651-7673. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Jellyfish Search Optimizer. ScholarGate. https://scholargate.app/sw/optimization/jellyfish-search-optimizer

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateJellyfish Search Optimizer (Jellyfish Search Optimizer). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/optimization/jellyfish-search-optimizer · Seti ya data: https://doi.org/10.5281/zenodo.20539026