Now showing items 1-3 of 3

    • Approximating small open economy models with neural network trained by genetic algorithm 

      Coşkun, Yeşim (Bilkent University, 2008)
      This thesis work presents a direct numerical solution methodology to approximate the small open economy models with debt elastic interest rate premium and with convex portfolio adjustment cost, both studied by Stephanie ...
    • Parameter selection for genetic algorithm-based simulation optimization 

      Boyabatlı, Onur (Bilkent University, 2001)
      Improvements on heuristic techniques with the availability of faster PC’s increase the importance of simulation-optimization (sim/opt) applications. Sim/opt methodologies use computer simulation integrated with an ...
    • Parameter selection in genetic algorithms 

      Boyabatlı, O.; Sabuncuoglu, I. (International Institute of Informatics and Cybernetics, 2004)
      In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation ...