Process / pipelineSimulation / optimization

Stochastic Genetic Algorithm — Stohastičko genetičko pretraživanje za optimizaciju

Stohastički genetički algoritam (SGA) je metaheuristika utemeljena na populaciji koja oponaša biološku evoluciju — selekciju, križanje i mutaciju — kako bi pretražio približno optimalna rješenja u složenim, nelinearnim ili kombinatornim prostorima. Njegovi stohastički operatori čine ga otpornim na lokalne optimume i široko primjenjivim u inženjerstvu, planiranju, strojnom učenju i istraživanju operacija.

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Izvori

  1. Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor. ISBN: 978-0262581110
  2. Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA. ISBN: 978-0201157673

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Stochastic Genetic Algorithm — Randomized evolutionary search for combinatorial and continuous optimization. ScholarGate. https://scholargate.app/hr/simulation/stochastic-genetic-algorithm

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Citirana u

ScholarGateStochastic Genetic Algorithm (Stochastic Genetic Algorithm — Randomized evolutionary search for combinatorial and continuous optimization). Preuzeto 2026-06-15 s https://scholargate.app/hr/simulation/stochastic-genetic-algorithm · Skup podataka: https://doi.org/10.5281/zenodo.20539026