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Process / pipelineSimulation / optimization

Uboreshaji Robust wa Kundi la Chembe — Njia ya metaheuristic inayotokana na kundi inayojali kutokuwa na uhakika

Uboreshaji Robust wa Kundi la Chembe (Robust PSO) unapanua njia ya metaheuristic ya kawaida ya PSO ili kushughulikia moja kwa moja kutokuwa na uhakika katika utendaji wa lengo, vikwazo, au vigezo vya uamuzi. Badala ya kuboresha lengo moja la kawaida, kila suluhisho la mgombea linatathminiwa kwa seti ya matukio ya kutokuwa na uhakika, na ustahiki unahukumiwa na kigezo cha uimara kama vile utendaji mbaya zaidi au thamani inayotarajiwa, na kutoa suluhisho zinazobaki karibu na bora hata hali zinapotoka kutoka kwa dhana za kawaida.

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Vyanzo

  1. Kennedy, J., Eberhart, R. C., & Shi, Y. (2001). Swarm Intelligence. Morgan Kaufmann Publishers. ISBN: 9781558605954
  2. Dellino, G., Kleijnen, J. P. C., & Meloni, C. (2010). Robust optimization in simulation: Taguchi and Response Surface Methodology. International Journal of Production Economics, 125(1), 52–59. DOI: 10.1016/j.ijpe.2009.12.003

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Particle Swarm Optimization — Uncertainty-aware swarm-based metaheuristic. ScholarGate. https://scholargate.app/sw/simulation/robust-particle-swarm-optimization

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ScholarGateRobust Particle Swarm Optimization (Robust Particle Swarm Optimization — Uncertainty-aware swarm-based metaheuristic). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/robust-particle-swarm-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026