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Process / pipelineSimulation / optimization

Multi-Objective Genetic Algorithm (MOGA) — Utambuzi wa Kimfumo wa Suluhu za Pareto-Optimal

Multi-Objective Genetic Algorithm (MOGA) ni mbinu ya kompyuta ya mageuzi ambayo huendeleza kundi la suluhu zinazowezekana kuelekea mstari wa mbele wa Pareto-optimal, ikiboresha kwa wakati mmoja utendaji wa malengo mawili au zaidi yanayokinzana. Inazuia kuanguka kwa biashara-off kuwa alama moja, badala yake hutoa seti ya suluhu zisizo na dominancy kwa mtoa maamuzi kuchagua kati yake.

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Vyanzo

  1. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Addison-Wesley. ISBN: 9780201157673
  2. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multi-Objective Genetic Algorithm (MOGA). ScholarGate. https://scholargate.app/sw/simulation/multi-objective-genetic-algorithm

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ScholarGateMulti-objective genetic algorithm (Multi-Objective Genetic Algorithm (MOGA)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/multi-objective-genetic-algorithm · Seti ya data: https://doi.org/10.5281/zenodo.20539026