Karmaşık mühendislik problemlerinde zeki optimizasyon tekniklerinin uygulamaları. Genetik algoritmalar, tavlama benzetimi algoritması, bulanık mantık, yapay sinir ağları, tabu arama ve karınca algoritması teknikleri. Bu tekniklerle örnek problem çözümleri.

Midterm - 25%
Homeworks - 15%
Final project - 60%

(1) Clever Algorithms, Jason Brownlee, 2011.
(2) Engineering Optimization, Gabor Körtelyesi, Typotex Publishing House, 2012. 
(3) Engineering Optimization: Theory and Practice, Singiresu S. Rao, John Wiley & Sons, 2009.
(4) Intelligent Optimization Techniques, Duc T. Pham, Derviş Karaboğa, Springer Verlag, 1999.
(5) Essentials of Metaheuristics, Sean Luke, 2015.
(6) Elementary Linear Algebra, Ron Larson, David C.Falvo, Houghton Mifflin Harcourt Publishing Company, 2009.

(1) An Introduction to Genetic Algorithms, Mitchell Melanie, MIT Press, 1999. 
(2) Neural Networks: A Comprehensive Foundation, simon Haykin, Prentice Hall, 1999.
(3) Neural Network Design, Hagan, M.T., H.B. Demuth, and M. Beale, PWS Publishing, 1996.
(4) An Introduction to Neural Networks, Anderson, J.A., The MIT Press, 1997.
(5) Computational Intelligence: An Introduction, Pedrycz, W., CRC Press, 1998.
(6) Fuzzy Logic & Neurofuzzy Applications Explained, Von Altrock, C., Prentice Hall, 1995.
(7) Numerical Optimization, Jorge Nocedal, Stephen J. Wirhgt, Springer, 1999.
(8) Goldberg, D.E., Genetic Algorithms: in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.
(9) Artificial Intelligence: A Guide to Intelligent Systems, Michael, N., Addison-Wesley, 2002.

(1) Introduction to optimization
(2) Linear programming
(3) Classical optimization techniques 
(4) Stochastic algorithms 
(5) Evolutionary algorithms 
(6) Physical algorithms
(7) Probabilistic algorithms
(8) Swarm algorithms 
(9) Immune algorithms 
(10) Artificial neural networks

- The articles reviewed will be published in the last 3 years. 
- The articles will be published in a journal indexed by SCI.
- The full text of the article will be attached to the prepared report.
- The students who will make presentations should send their presentation files by e-mail at the latest one day before.