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    Lattice heat capacity of mesoscopic nanostructures

    , Article Journal of Physics: Conference Series, 5 July 2010 through 10 July 2010, Dubna ; Volume 248 , 2010 ; 17426588 (ISSN) Gharekhanlou, B ; Khorasani, S ; Vafai, A ; Sharif University of Technology
    2010
    Abstract
    We present a rigorous full quantum mechanical model for the lattice heat capacity of mesoscopic nanostructures in various dimensions. Model can be applied to arbitrary nanostructures with known vibrational spectrum in zero, one, two, or three dimensions. The limiting case of infinitely sized multi-dimensional materials are also found, which are in agreement with well-known results. As examples, we obtain the heat capacity of fullerenes  

    A genetic algorithm for vendor managed inventory control system of multi-product multi-constraint economic order quantity model

    , Article Expert Systems with Applications ; Volume 38, Issue 3 , March , 2011 , Pages 2708-2716 ; 09574174 (ISSN) Pasandideh, S. H. R ; Niaki, S. T. A ; Nia, A. R ; Sharif University of Technology
    2011
    Abstract
    In this research, an economic order quantity (EOQ) model is first developed for a two-level supply chain system consisting of several products, one supplier and one-retailer, in which shortages are backordered, the supplier's warehouse has limited capacity and there is an upper bound on the number of orders. In this system, the supplier utilizes the retailer's information in decision making on the replenishments and supplies orders to the retailer according to the well known (R, Q) policy. Since the model of the problem is of a non-linear integer-programming type, a genetic algorithm is then proposed to find the order quantities and the maximum backorder levels such that the total inventory... 

    School bus routing problem in large-scale networks

    , Article Transportation Research Record ; Issue 2137 , 2009 , Pages 140-147 ; 03611981 (ISSN) Rashidi, T ; Zokaei Aashtiani, H ; Mohammadian, A ; Sharif University of Technology
    Abstract
    The vehicle routing problem (VRP) is one of the most complicated optimization mathematical models; the school bus routing problem (SBRP) is an important and practical branch of this problem. Because the number of variables and equations is vast, finding the exact solution for this problem under real conditions is difficult; only heuristic and metaheuristic algorithms can be used to solve it. Recently, the ejection chain method (ECM) has been introduced as a heuristic algorithm that efficiently finds a new neighbor solution. In a case study in developing countries, efficiency of several heuristic algorithms including ECM along with one metaheuristic algorithm-tabu search algorithm (TSA)-is... 

    Resource allocation in space division multiplexed elastic optical networks secured with quantum key distribution

    , Article IEEE Journal on Selected Areas in Communications ; Volume 39, Issue 9 , 2021 , Pages 2688-2700 ; 07338716 (ISSN) Ehsani Moghaddam, E ; Beyranvand, H ; Salehi, J. A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Elastic Optical Network (EON) is a promising solution to address the high capacity, low latency, and flexibility requirements of the upcoming 5th-generation (5G) networks. Furthermore, Multi-Core Fibers (MCFs) and Space Division Multiplexing (SDM) technique can be utilized to overcome the capacity limitation of the conventional Single Mode Fibers (SMFs). On the other hand, Quantum Key Distribution (QKD) is an effective solution to address the security issues in 5G transport networks. In this paper, we investigate the performance of QKD over elastic optical networks with multi-core fibers and address the resource allocation problem for quantum and classical channels of QKD (QChs and CChs) and... 

    A combination of MADM and genetic algorithm for optimal DG allocation in power systems

    , Article 42nd International Universities Power Engineering Conference, UPEC 2007, Brighton, 4 September 2007 through 6 September 2007 ; 2007 , Pages 1031-1035 ; 1905593368 (ISBN); 9781905593361 (ISBN) Kamalinia, S ; Afsharnia, S ; Khodayar, M. E ; Rahimikian, A ; Sharbafi, M. A ; Sharif University of Technology
    2007
    Abstract
    Distributed Generation (DG) can help in reducing the cost of electricity to the customer, relieve network congestion, provide environmentally friendly energy close to load centers as well as promote system technical characteristics such as loss reduction, voltage profile enhancement, reserve mitigation and many other factors. Furthermore, its capacity is also scalable and it can provide voltage support at distribution level. The planning studies include penetration level and placement evaluation which are influenced directly by DG type. Most of the previous publications in this field chose one or two preferred parameter as basic objective and implement the optimizations in systems. But due...