Ders Kitabı / Malzemesi / Önerilen Kaynaklar

1) Modern Sezgisel Teknikler ve Uygulamaları, Tunçhan Cura, 2008, Papatya Yayıncılık. 2) Yapay Zeka Optimizasyon Algoritmaları, Derviş Karaboğa, 2014, Nobel Yayın. 3) Handbook of Metaheuristics, Michel Gendreau and Jean-Yves Potvin, Springer. 4) Metaheuristics From Design to Implementation, El-Ghazali Talbi, 2009, Wiley. 5) Search and Optimization by Metaheuristics – Techniques and Algorithms Inspired by Nature, Ke-Lin Du and M.N.S Swamy, 2016, Birkauser. 6) Differential evolution a practical approach to global optimization, Price, K.V.,Storn, R.M., Lampinen, J.A., 2005, Springer-Verlag, Berlin Heidelberg. 7) Multidimensional particle swarm optimization for machine learning and pattern recognition. Kiranyaz, S., Ince, T., Gabbouj, M. 2014. Springer-Verlag, New York, USA.