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Ushindani wa Makoloni ya Fuko — Ushindani wa Kichocheo cha Kundi

Ushindani wa Makoloni ya Fuko (ACO) ni algorithm ya metaheuristic iliyoanzishwa na Marco Dorigo na wenzake mwanzoni mwa miaka ya 1990 ambayo hutatua matatizo ya ushindani wa mchanganyiko kwa kuiga tabia ya pamoja ya kutafuta chakula ya fuko. Fuko halisi huacha njia za feromoni kwenye njia na hufuata kwa upendeleo njia zenye nguvu zaidi; ACO hubadilisha utaratibu huu wa maoni chanya kuwa utaratibu wa utafutaji unaopata suluhisho za ubora wa juu kwa matatizo yaliyoandikwa kwa grafu kama vile Tatizo la Miuza wa Safarini, uelekezaji wa gari, na ratiba.

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Vyanzo

  1. Dorigo, M. & Gambardella, L.M. (1997). Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation, 1(1), 53-66. DOI: 10.1109/4235.585892
  2. Dorigo, M. & Stützle, T. (2004). Ant Colony Optimization. MIT Press. ISBN: 9780262042192

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Ant Colony Optimization (ACO). ScholarGate. https://scholargate.app/sw/optimization/ant-colony-optimization

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Imerejelewa na

ScholarGateAnt Colony Optimization (Ant Colony Optimization (ACO)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/optimization/ant-colony-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026