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Process / pipelineSimulation / optimization

Uboreshaji wa Koloni la Sisimizi Lenye Malengo Mengi (MOACO)

Uboreshaji wa Koloni la Sisimizi Lenye Malengo Mengi (MOACO) ni mbinu ya metaheuristic ya akili ya makundi inayopanua mfumo wa kawaida wa Uboreshaji wa Koloni la Sisimizi ili kuboresha malengo mawili au zaidi yanayokinzana kwa wakati mmoja. Sisimizi bandia huunda suluhisho zinazowezekana zikiongozwa na njia za pheromone na taarifa za heuristic, zikijenga hatua kwa hatua kumbukumbu ya suluhisho bora za Pareto badala ya kuelekea kwenye jibu moja bora.

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Vyanzo

  1. Gambardella, L. M., Taillard, E., & Agazzi, G. (1999). MACS-VRPTW: A multiple ant colony system for vehicle routing problems with time windows. In D. Corne, M. Dorigo, & F. Glover (Eds.), New Ideas in Optimization (pp. 63–76). McGraw-Hill. link
  2. Dorigo, M., & Stützle, T. (2004). Ant Colony Optimization. MIT Press. ISBN: 9780262042192

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multi-Objective Ant Colony Optimization (MOACO). ScholarGate. https://scholargate.app/sw/simulation/multi-objective-ant-colony-optimization

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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.

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Imerejelewa na

ScholarGateMulti-objective ant colony optimization (Multi-Objective Ant Colony Optimization (MOACO)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/multi-objective-ant-colony-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026