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Mkakati wa Mageuzi (CMA-ES) — Urekebishaji wa Matrixi ya Kufanana

CMA-ES, kifupi cha Mkakati wa Mageuzi wa Urekebishaji wa Matrixi ya Kufanana, ni kisasa cha kisasa kisicho na mteremko kwa ajili ya utendaji kazi wa kisanduku cheusi unaoendelea ulioanzishwa na Hansen na Ostermeier mwaka 2001. Huhifadhi kundi la suluhisho za mgombea zilizochotwa kutoka kwa usambazaji wa kawaida wa multivariate na hurekebisha kwa vipindi maana, ukubwa wa hatua, na matrixi kamili ya kufanana ili kuelekeza utafutaji kuelekea maeneo bora zaidi ya nafasi ya vigezo. Imekuwa kiwango cha de-facto kwa utendaji kazi wa kisanduku cheusi unaoendelea na hutumiwa sana katika utafutaji wa usanifu wa neural na utendaji kazi wa sera ya kujifunza kwa uimarishaji.

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Vyanzo

  1. Hansen, N. & Ostermeier, A. (2001). Completely Derandomized Self-Adaptation in Evolutionary Strategies. Evolutionary Computation, 9(2), 159-195. DOI: 10.1162/106365601750190398
  2. Hansen, N. (2016). The CMA Evolution Strategy: A Tutorial. arXiv:1604.00772. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Covariance Matrix Adaptation Evolution Strategy (CMA-ES). ScholarGate. https://scholargate.app/sw/optimization/evolutionary-strategy

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Imerejelewa na

ScholarGateEvolutionary Strategy (Covariance Matrix Adaptation Evolution Strategy (CMA-ES)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/optimization/evolutionary-strategy · Seti ya data: https://doi.org/10.5281/zenodo.20539026