Search for: genetic-algorithm
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    Numerical Analysis and Optimization of Waterjet System

    , M.Sc. Thesis Sharif University of Technology Yeganeh, Farzad (Author) ; Abbaspour, Madjid (Supervisor) ; Behzad, Mehdi (Supervisor)
    The inlet duct is one of the most important components of the waterjet propulsion system, whose hydrodynamic performance is directly related to the capabilities and efficiency of the waterjet propulsion system. In this study, a procedure was proposed to improve the hydrodynamic performance of an inlet duct. According to this proposed procedure, first the basic intake duct geometry of the waterjet propulsion system was prepared using visual programming to simplify the repetition of the design in Rhino design software, and then the numerical analysis of the designed geometry in Star CCM+ commercial software was performed. The simulation results were validated with the results of an... 

    Assembly Line Balancing with Sequence Dependent Setup Times

    , Ph.D. Dissertation Sharif University of Technology Yolmeh, Abdolmajid (Author) ; Kianfar, Farhad (Supervisor)
    In recent years in assembly line balancing area many researchers have focused on identifying and modeling real world situations in assembly lines in order to obtain more suitable model. As a result many generalized models have been developed in assembly line balancing area. However, designing efficient algorithms to solve these generalized problems has just begun. In this study it is aimed to design efficient algorithms to solve one of these generalized problems. Specificcally two hybrid genetic algorithms (GA) are proposed to solve assembly line balancing problem with sequence dependent setup times. Scheduling of tasks in the stations has been less considered in the literature of assembly... 

    Coverage, Capacity and Load Balance Optimization in Mobile Networks

    , M.Sc. Thesis Sharif University of Technology Yaghoobianzadeh Sardroudi, Amir Mohammad (Author) ; Hossein Khalaj, Babak (Supervisor)
    For several years, self-organizing networks have been introduced by 3GPP to reduce the costs of mobile operators. Self-organizing networks, by introducing a kind of intelligence to the mobile network, will cause optimal performance and, as a result, reduce the operating costs of operators. Improving network coverage and increasing user data rates are always among the priorities of operators to increase profits and customer satisfaction. Coverage and capacity optimization is one of the most important functions introduced in self-organized networks. In this study, in addition to the coverage and capacity optimization function, the load balance optimization and the contradictory interaction of... 

    Optimum Design of Low Speed Superconducting Synchronous Machine

    , Ph.D. Dissertation Sharif University of Technology Yazdanian, Masoud (Author) ; Zolghadri, Mohammad Reza (Supervisor) ; Fardmanesh, Mehdi (Supervisor)
    Using superconducting synchronous machine leads to many advantages such as increasing overall efficiency, decreasing mass and valume of peropulsion system, eliminating some restrictions in hydrodynamic design , etc. The goal of this thesis is design of 200 kW, with 250 rpm superconducting synchronous motor for small ship propulsion drive application. The low speed motor can be directly coupled to the propeller whitch eliminates bulky and inefficient gearbox. After comparison of different structures of superconducting synchronous machines, finally rotating superconducting field with stationary copper armature winding is selected as the most approporiate structure for our application.

    Music Track Detection Using Audio Fingerprinting

    , M.Sc. Thesis Sharif University of Technology Yazdanian, Saeed (Author) ; Sameti, Hossein (Supervisor)
    Music information reterival systems have a lot of applications in music filtering and broadcast monitoring due to the huge amount of multimedia data these days. In these systems the feature extraction method is called audio fingerprinting. Small size of fingerprints allows the systems to search efficiently in thousands or millions numbers of audio songs. The input signal is usually just a couple of seconds long and degraded in several ways. The goal is to design a system which is robust to signal degradations and efficient to search. In this thesis one of the basic systems is reviewed and improved in several ways. This system uses spectrogram of signals to extract features and build an... 

    Inventory Routing Problem with Deliveries and Pickups

    , M.Sc. Thesis Sharif University of Technology Yasamani, Fatemeh (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Environmental problems and the consequent governmental regulations, has led supply chains into reverse and closed-loop supply chains. Application of problems such as "Vehicle Routing Problem” has diminished in the closed-loop supply chain, and instead of them, the problem of "Vehicle Routing Problem with Deliveries and Pickups" has become more important. On the other hand, tendency of supply chains to running information in the chain in a desired way, has led to grow the attention to establishing policies of “Vendor Managed Inventory". It seems that by tending the supply chains to closed-loop supply chains which are utilizing the policy of "Vendor Managed Inventory", application of problems... 

    A Service Matching Model in Cloud Manufacturing Systems Considering the Extended Relationship Among Supply Demand Services Focusing on Metaheuristic Algorithms

    , M.Sc. Thesis Sharif University of Technology Ganji, Narjess (Author) ; Fatahi Valilai, Omid (Supervisor)
    In recent years, economy globalization has led to a major focus on the needs of customers, Moreover globalization has resulted in geographically distributed suppliers across the globe. In such a space, using cloud manufacturing as one of the novel technologies in manufacturing that deals with resource management has been more and more taken into consideration. one of the most important issues in cloud manufacturing is service composition, in which, after receiving customer’s demand, a combination of cloud services is provided to meet customer’s demand. In fact, the customer's need is decomposed in different tasks, each of which is carried out by one (or more) manufacturing plant. the purpose... 

    Selection of the Optimal Orientation of Parts in Rapid Prototyping Processes

    , M.Sc. Thesis Sharif University of Technology Amir Hossein Golmohammadi (Author) ; Khodaygan, Saeed (Supervisor)
    Additive manufacturing (AM), also known as Rapid prototyping or D printing, is a new technology for the manufacturing of the physical parts through an additive manner. In the AM process, the orientation pattern of the part is one of the most important factors that significantly affects the product properties such as the build time, the surface roughness, the mechanical strength, the wrinkling, and the amount of support material. The build time and the surface roughness are the more imperative criteria than others that can be considered to find the optimum orientation of parts. In this research, Two method is used to optimize part build orientation (PBO). In the first method a new combined... 

    2-D Bone Structure Prediction of Proximal Femur and Dominant Joint Load Estimation using Level Set Method and Bone RemodelingTheories

    , M.Sc. Thesis Sharif University of Technology Keivan Bahari, Mahsa (Author) ; Farahmand, Farzam (Supervisor) ; Movahhedy, Mohammad Reza (Supervisor) ; Rouhi, Gholamreza (Co-Advisor)
    Bones adapt their form and structure to make an efficient use of their mass against the applied mechanical loads. So, it is not surprising to assume that the geometry and density distribution of a bone contains information about its loading history. The objective of this work was to develop a framework to simulate the bone remodeling procedure as a topology optimization process and then use this framework to develop a simple technique for estimating the dominant joint loads based on the bone’s density distribution.
    At first, the remodeling equation was derived from the structural optimization task of minimizing the strain energy in each time step, using the level set method. Employment... 

    Optimization of Service Composition Problem in Multi-cloud Manufacturing Environment

    , M.Sc. Thesis Sharif University of Technology Koosheshi, Erfan (Author) ; Houshmand, Mahmoud (Supervisor)
    Technological progress, complexity in costumers’ needs and distributed resources make extreme competition in business environment. It produces some novel concepts. In this research, we concentrate on cloud manufacturing which was generated by using cloud computing concepts and focuses on resources sharing between various manufacturers. One of key problems in this field is service composition. In this work, I have proposed a mathematical model with binary variables for service composition problem in multi-cloud manufacturing environment. In this model, I’ve considered for qualities of services (cost, time, energy, reliability) as objective functions. Cost and time functions include the cost... 

    Optimum Design Hybrid Energy Storage Systems in Electric Urban Rail Transport Systems

    , M.Sc. Thesis Sharif University of Technology Komijani, Abbas (Author) ; Zolghadri, Mohammad Reza (Supervisor)
    In the urban railway transportation system, large amount of power is consumed for starting the movement and acceleration. A great part of this energy is transformed to the train kinetic energy which in the case of break is reduced to zero. Thus recovering of train kinetic energy during the brake can help to reduce train energy consumption. One of the possible ways is using energy storage during the brake and using it again during acceleration. Storage can be performed in three kinds, fixed, mobile and hybrid. In this thesis, super capacitors have been investigated as fixed and mobile storages. After reviewing electrical railway transportation systems, elements of these systems have been... 

    Theoretical Investigation and Optimization of Effective Microbial Parameters of Different Biocatalyst in Microbial Fuel Cells System Using Genetic Algorithm

    , M.Sc. Thesis Sharif University of Technology Kalantar Neyestanaki, Mohammad (Author) ; Yaghmaie, Soheila (Supervisor)
    Microbial fuel cell is one of the new technologies in the field of power generation from the organic energy resource. The fuel cell system in a process similar to chemical fuel cell generate electrical energy through oxidation of organic composition by uses of electrogenic microorganisms as biocatalyst. In this study the main object is providing a comprehensive mathematical model for the fuel cell system in micro-liter size. To achieve this purpose, we start to investigate properties of fuel cell system in this size. And according to the geometry of system we choose chemotactic equation for estimating hydrodynamic behavior of microorganism and using combination of conductive base and... 

    A Numerical Approach for Determination of Soil Parameters by Pressuremeter Test

    , M.Sc. Thesis Sharif University of Technology Keshmiri, Ehsan (Author) ; Ahmadi, Mohammad Mehdi (Supervisor)
    In-situ tests are strongly recommended in site investigations, since laboratory studies are not sufficient for precise determination of soil parameters. Effects of soil disturbance on laboratory studies questions the validation of obtained soil parameters. In the in-situ tests, soil experience less disturbance and these tests are conducted in stress levels resembling to soil initial horizontal and vertical stresses. Also more volume of soil is tested by in-situ tests in comparison to laboratory studies. Pressuremeter instrument was invented by Menard (1954). In this test, a flexible cylinder is expanded in the cavity under fluid pressure and the volume and stress changes of the cavity are... 

    Numerical Modeling and Optimization of Cold and Hot Powder Forming Processes

    , Ph.D. Dissertation Sharif University of Technology keshavarz hadad , Shahriyar (Author) ; Khoei, Amir Reza (Supervisor) ; Khalo, Ali Reza (Supervisor)
    In this thesis, a shape optimization technique is presented for powder forming processes based on the genetic algorithm approach. The numerical modeling of powder compaction simulation is applied based on a large deformation formulation, powder plasticity behavior, and frictional contact algorithm. A Lagrangian finite element formulation is employed for large powder deformations. A cap plasticity model is used in numerical simulation of nonlinear powder behavior. The influence of powder-tool friction is simulated by the use of penalty approach in which a plasticity theory of friction is incorporated to model sliding resistance at the powder-tool interface. For hot compaction process coupled... 

    Reduction of Energy Consumption in Wireless Sensor Networks Using Genetic Algorithm

    , M.Sc. Thesis Sharif University of Technology Karimi, Mojtaba (Author) ; Hemmatyar, Ali Mohammad Afshin (Supervisor)
    Reducing energy consumption is one of the challenges facing wireless sensor networks with many solutions introduced for them with each having advantages and disadvantages. Some of the solutions introduced are based on using movable sinks. In this project, we attempt at proposing a place for the establishment of sinks using genetic algorithm that can reduce energy consumption in the net knots and increase the net life. This work should be done after reviewing the results of past researches and introduced methods. We will analyze the practicality of the proposed model using simulation and will show their advantages over the previous mentioned methods  

    Change Point Estimation of Multivariate Multiple Linear Profiles, under Multiple Linear Drifts and Step Changes

    , M.Sc. Thesis Sharif University of Technology Karimi, Samira (Author) ; Mahlooji, Hashem (Supervisor)
    Control charts are the most popular Statistical Process Control tools used to monitor process changes. However, they are not capable of identifying the real time of a process change, which is essential for diagnosing assignable causes of the change. Therefore, a number of methods of change-point estimation have been developed. In the literature, relatively little study has been done on multiple changes. In this research, a new method based on Maximum Likelihood Estimator (MLE) is introduced to identify linear drifts and step changes in multivariate multiple linear profiles. Due to the massive increase in the amount and time of the calculations along with the growth of the number of the... 

    Risk Management for DG Owners

    , M.Sc. Thesis Sharif University of Technology Karimi, Ahmad (Author) ; Rajabi, Abbas (Supervisor)
    Distributed generation (DG) and its utilization have some benefits and risks for its owner and power network. From owner perspective, benefits of DG include selling energy, reducing costs related to fuel, and other economic benefits. However, there are some risk factors for the owner including risk of supplying fuel, risk of selling generated power, and other risk factors related to establishment of the DG unit. Utilizing risk-reduction tools such as signing agreements for selling power, purchasing fuel, and related economic tools are necessary for risk management of the owners of DG units. The purpose of this thesis is to investigate the economic situation of the DG units and optimize the... 

    Cost Efficient Task Scheduling Algorithms in Grid Environment

    , M.Sc. Thesis Sharif University of Technology Kardani Moghaddam, Sara (Author) ; Movaghar Rahimabadi, Ali (Supervisor)
    Computational grids enabling resource sharing and coordination are now one of the common and acceptable technologies used for solving computational intensive applications rising in scientific and industrial problems. Nevertheless, due to the heterogeneity, dynamicity and autonomy of the grid resources, task scheduling within these systems has become a challenging research area. Applying the market model to the grids is a good approach which can easily take the dynamic characteristics of the grid resources into account and simplify the scheduling problem considering user-centric factors.In this thesis a two level market-based model for task scheduling problem in grid environment is presented.... 

    Repairing of Damaged Metallic Pressure Pipe Using Polymer-Based Composites

    , M.Sc. Thesis Sharif University of Technology Kaveh Pisheh, Mahsa (Author) ; Abedian, Ali (Supervisor)
    Due to well mechanical properties and high resistance to environmental conditions, metal pipes are used to transport oil and gas products, water and sewage, as well as hydraulic systems in aircraft or aerospace systems. Therefore, maintenance of oil and gas transmission lines in energy-related industries and pressurized tanks in the aviation industry has always been a concern of engineers. Due to the problems of old methods for repairing damaged pipelines or aerial structures, it seems necessary to provide new, safe and cheap methods for repairing them. Various engineering standards for pipelines and their repairs have been presented so far which have analytical solutions to determine the... 

    , M.Sc. Thesis Sharif University of Technology (Author) ; Hajji, Alireza (Supervisor)
    This thesis presents an inventory control system which is based on Meta-heuristic Algorithms.In this thesis we will optimize the input values of our tree-echelon inventory model (keeping costs,stock worth,reorder costs,...) with these Algorithms. The presented method is able to determine the optimal stock level, costs of system and number of shipments in the system. The method is basically a decision support system (DES) and it is able to provide the order scheduling parameters of goods at operational level. The aim of the current research is to demonstrate that a Meta-heuristic algorithmis capable of solving complex inventory problems and with future improvements it is able to achieve...