. For the automated selection of an optimal subset of features in real time, we present an improved hybrid algorithm: SAGA …

of this algorithm is to produce a more reliable, robust schedule that operates in today's environment as well as tomorrow … airline schedule optimization approach is implemented using a multi-objective evolutionary algorithm which is capable of … ability to define priorities for certain flights based on aircraft size, flight time, and airline usage. The algorithm is …

computes inO(n2); Cooke’s test that computes in O(n2).We prove that Cooke’s algorithm runs in O(n2), contrary to his claims …

distribution. We generalize the iterative Plug-in algorithm for local linear quantile regression with double kernel smoothing in … section (4.5). In section (4.6), we present an iterative-Plug-in algorithm for the local linear quantile regression. In … section (4.7), we discuss the consistency and the asymptotic normality of the plug-in algorithm. In chapter 5, we apply the …

economic theory of the firm and the expansive body of prior research on the design of business simulations. The focus is on the …

tested in different scenarios. For this purpose anadequate gate allocation algorithm has been developed and implemented in a …

This study tests the theory that currency crises are associated with sudden large changes in the structure of foreign … periods with a high degree of precision. We use the iterative cumulative sum of squares algorithm to detect multiple shifts in …

uses the Expectation-Maximization (EM) algorithm. The EM algorithm is sensitive to initial values of HMM parameters and is …