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Process / pipelineSimulation / optimization

Uboreshaji wa Malengo Mengi ya Kistochastiki — Kuboresha malengo mengi yanayokinzana chini ya kutokuwa na uhakika

Uboreshaji wa Malengo Mengi ya Kistochastiki (SMOO) ni darasa la mbinu ambazo kwa wakati mmoja huboresha malengo mawili au zaidi yanayokinzana wakati vigezo, gharama, au vikwazo havina uhakika au ni vya nasibu. Badala ya suluhisho moja bora, hutoa mbele ya Pareto ya suluhisho ambazo hazidhalilishwi, kila moja ikiwakilisha usawa tofauti kati ya malengo chini ya kutokuwa na uhakika uliofanyiwa mfano.

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Vyanzo

  1. Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester. ISBN: 9780471873396
  2. Caramia, M., Dell'Olmo, P. (2008). Multi-Objective Management in Freight Logistics. Springer, London. DOI: 10.1007/978-1-84800-382-8

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Stochastic Multi-Objective Optimization — Multi-criteria optimization under uncertainty with probabilistic objectives or constraints. ScholarGate. https://scholargate.app/sw/simulation/stochastic-multi-objective-optimization

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Imerejelewa na

ScholarGateStochastic Multi-Objective Optimization (Stochastic Multi-Objective Optimization — Multi-criteria optimization under uncertainty with probabilistic objectives or constraints). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/stochastic-multi-objective-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026