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    A genetic algorithm approach to find the best regression/econometric model among the candidates

    , Article Applied Mathematics and Computation ; Volume 183, Issue 1 , 2006 , Pages 337-349 ; 00963003 (ISSN) Hasheminia, H ; Akhavan Niaki, T ; Sharif University of Technology
    2006
    Abstract
    Although statistical modeling is a common task in different fields of science, it is still difficult to estimate the best model that can accurately describe inherent characteristics of a system for which historical or experimental data are available. Since we may classify estimating techniques as optimizations, we can model this problem as an optimization problem and solve it by a new heuristic algorithm like neural networks, genetic algorithms, and tabu search or by classic ones such as regression and econometric models. In this paper, we propose a new type of genetic algorithm to find the best regression model among all suggested and evaluate its performances by an economical case study. ©... 

    A novel GA-based High-Level Synthesis technique to enhance RT-level concurrent testing

    , Article 14th IEEE International On-Line Testing Symposium, IOLTS 2008, Rhodes, 7 July 2008 through 9 July 2008 ; 2008 , Pages 173-174 ; 9780769532646 (ISBN) Karimi, N ; Aminzadeh, S ; Safari, S ; Navabi, Z ; Sharif University of Technology
    2008
    Abstract
    This paper presents an efficient High-Level Synthesis (HLS) approach to improve RT-Level concurrent testing. The proposed method used for both fault detection and fault location. At first the available resources are used in their dead intervals to test active resources for fault detection, and then some changes are applied to the RT-Level controller to locate the faults. The fault detection step is based on a genetic algorithm (GA) search technique. This genetic algorithm is applied to the design after high level synthesis process to explore the test map. The proposed method has been evaluated based on dependability enhancement and area/latency overhead imposed to different benchmarks after... 

    A queuing approach for making decisions about order penetration point in multiechelon supply chains

    , Article International Journal of Advanced Manufacturing Technology ; Volume 63, Issue 1-4 , 2012 , Pages 359-371 ; 02683768 (ISSN) Teimoury, E ; Modarres, M ; Khondabi, I. G ; Fathi, M ; Sharif University of Technology
    2012
    Abstract
    This study is dedicated to order penetration point (OPP) strategic decision making which is the boundary between make-to-order (MTO) and make-to-stock (MTS) policies. A multiproduct multiechelon production supply chain is considered where the first production stage manufactures semifinished products based on an MTS policy to supply the second production stage which operates on the MTO policy. The producer desires to find the optimal fraction of processing time fulfilled by supplier and optimal semifinished products buffer capacity in OPP. To calculate system performance indexes, the matrix geometric method is employed. Afterward, optimal solutions are obtained by enumeration and direct...