• Hybrid Adaptive Evolutionary Algorithm Based On Decomposition 

      Mashwani, Wali Khan; Salhi, Abdellah; Yeniay, Ozgur; Jan, Muhammad Asif; Khanum, Rasheeda Adeeb (Elsevier Science Bv, 2017)
      The performance of search operators varies across the different stages of the search/optimization process of evolutionary algorithms (EAs). In general, a single search operator may not do well in all these stages when ...
    • Hybrid Non-Dominated Sorting Genetic Algorithm With Adaptive Operators Selection 

      Mashwani, Wali Khan; Salhi, Abdellah; Yeniay, Ozgur; Hussian, H.; Jan, M. A. (Elsevier Science Bv, 2017)
      Multiobjective optimization entails minimizing or maximizing multiple objective functions subject to a set of constraints. Many real world applications can be formulated as multi-objective optimization problems (MOPs), ...
    • Improving Weighted Information Criterion By Using Optimization 

      Aladag, Cagdas Hakan; Egrioglu, Erol; Gunay, Suleyman; Basaran, Murat A. (Elsevier Science Bv, 2010)
      Although artificial neural networks (ANN) have been widely used in forecasting time series, the determination of the best model is still a problem that has been studied a lot. Various approaches available in the literature ...
    • Modified Estimators For The Change Point In Hazard Function 

      Karasoy, Durdu; Kadilar, Cem (Elsevier Science Bv, 2009)
      We propose the consistent estimators for the change point in hazard function by improving the estimators in [A.P. Basu, J.K. Ghosh, S.N. Joshi, On estimating change point in a failure rate, in: S.S. Gupta,J.O. Berger (Eds.), ...