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Optimizasyon Teknikleri

Optimizasyon Teknikleri. Ders Notu – 4 KISITSIZ OPTIMIZASYON Doç. Dr. Bilal ALATAŞ. İÇERİK. KISITSIZ OPTIMIZASYON PROBLEMI ARASTIRMA YÖNÜ (SEARCH DIRECTION) KONSEPTI KISITSIZ OPTIMIZASYON METOTLARI STEEPEST DESCENT METODU ESLENIK GRADYENT METODU NEWTON METODU QUASI-NEWTON METODU.

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Optimizasyon Teknikleri

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  1. Optimizasyon Teknikleri Ders Notu – 4 KISITSIZ OPTIMIZASYON Doç. Dr. Bilal ALATAŞ

  2. İÇERİK • KISITSIZ OPTIMIZASYON PROBLEMI • ARASTIRMA YÖNÜ (SEARCH DIRECTION) KONSEPTI • KISITSIZ OPTIMIZASYON METOTLARI • STEEPEST DESCENT METODU • ESLENIK GRADYENT METODU • NEWTON METODU • QUASI-NEWTON METODU

  3. Minimum bulunmak istenirse +, - olur (Minimum Descent)

  4. ÖZET

  5. Örnek

  6. Örnek Devam

  7. NEWTON METODU

  8. Örnek

  9. Kaynaklar • Hasan KURTARAN, “Mühendislik tasarımların optimizasyonu”, 2005 • Edwin K.P. Chong Stanislaw H.Zak,“An Introduction to Optimization”, 2001, John Wiley&Sons • Jorge Nocedal, Stephan J. Wright, “Numerical Optimization”, 1999, Springer-Verlag • R. Fletcher, “Practical Methods of Optimization”, 1987, John Wiley&Sons • David G.Luenberger, “Introduction to Linear and Nonlinear Programming”, 1987, Addison-Wesley • S.G. Nash, A. Sofer, “Linear and Nonlinear programming”, 1996, McGraw Hill • Dimitri P. Bertsekas, “Constrained Optimization and Lagrange Multiplier Methods”, 1982, Academic Press • Abbas Azimli, “Matematiksel Optimizasyon”, 2011, Papatya Yayınevi • Derviş Karaboğa: “Yapay Zeka Optimizasyon Algoritmaları”, 2006, Nobel Yayınevi

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