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Process / pipelineSimulation / optimization

NSGA-II inayotegemea Wakala — Uboreshaji wa Malengo Mengi wa Kibadilishaji unaoendeshwa na Uigaji

NSGA-II inayotegemea wakala huweka algoriti ya kibadilishaji ya NSGA-II ndani ya kitanzi cha uigaji kinachotegemea wakala ili thamani za malengo kwa kila suluhisho linalowezekana ziamuliwe kwa kuendesha uigaji kamili wa wakala badala ya kutathmini utendaji wa fomu iliyofungwa. Uunganishaji huu huwezesha uboreshaji wa malengo mengi juu ya mifumo ambayo utendaji wake hutokana na mwingiliano wa kiwango kidogo wa wakala huru badala ya milinganyo inayoweza kuchambuliwa.

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Vyanzo

  1. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197. DOI: 10.1109/4235.996017
  2. Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151-162. DOI: 10.1057/jos.2010.3

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Agent-Based Non-dominated Sorting Genetic Algorithm II — Simulation-Driven Evolutionary Multi-Objective Optimization. ScholarGate. https://scholargate.app/sw/simulation/agent-based-nsga-ii

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.

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ScholarGateAgent-based NSGA-II (Agent-Based Non-dominated Sorting Genetic Algorithm II — Simulation-Driven Evolutionary Multi-Objective Optimization). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/agent-based-nsga-ii · Seti ya data: https://doi.org/10.5281/zenodo.20539026