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Uboreshaji wa Malengo Mengi ya Kiamua (Deterministic Multi-Objective Optimization) — Mbinu za kawaida za Pareto na za kigezo (scalarization)

Uboreshaji wa Malengo Mengi ya Kiamua (Deterministic MOO) ni kundi la mbinu za kawaida za uboreshaji ambazo kwa wakati mmoja hupunguza au huongeza malengo mengi yanayokinzana juu ya seti inayowezekana ya kiamua. Hutokeza uso wa Pareto — seti ya masuluhisho yasiyodhalilishwa — ambapo mtengenezaji maamuzi huchagua maelewano yanayopendelewa. Tofauti na lahaja za ki-stokastiki, tathmini zote za lengo na vizuizi ni thabiti na hazina kelele.

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Vyanzo

  1. Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester. ISBN: 978-0-471-87339-6
  2. Miettinen, K. (1999). Nonlinear Multiobjective Optimization. Springer, Boston. ISBN: 978-1-4613-7544-9

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Deterministic Multi-Objective Optimization — Classical Pareto-based and scalarization approaches without stochastic components. ScholarGate. https://scholargate.app/sw/simulation/deterministic-multi-objective-optimization

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ScholarGateDeterministic Multi-Objective Optimization (Deterministic Multi-Objective Optimization — Classical Pareto-based and scalarization approaches without stochastic components). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/deterministic-multi-objective-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026