Search Results - (( quantity solution using algorithm ) OR ( java implementation modified algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
Review -
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
Published 2016“…Basically, Cuckoo searching algorithm imitates the natural evolution of a population with initial solutions. …”
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Bundle Sorting Mobile Application
Published 2020“…There are many advantages when the apparel industry implemented image processing during sorting the garments product to obtain the accurate quantity in the production line. The worker or user just used the camera that has an image processing algorithm to do the sorting. …”
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Final Year Project -
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Cubature kalman optimizer : A novel metaheuristic algorithm for solving numerical optimization problems
Published 2023“…In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty. …”
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Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach
Published 2016“…In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. …”
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Minimizing the total cost of inventory by using artificial bee colony algorithm / Nurul Syakira Mohd Zin
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Research Reports -
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Simulation Model and Genetic Algorithm to Assembly Line Balancing
Published 2013“…It can combine with Genetic Algorithm system (GAs) to obtain the optimum solution in any type of issue area. …”
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Block based low complexity iterative QR precoder structure for Massive MIMO
Published 2021“…The number of flops required in the proposed solution is much less than the regular BD algorithm. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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Thermodynamic properties of transverse field quantum Ising model using tensor network formalism / Pang Sin Yang
Published 2020“…Although theoretically, divergence at critical points only happen in an infinite system, one can obtain the critical exponents through simulation of finite-size 1D-tQIM. Using the analytic solution as a benchmark, we compared the finite-size effects of the system using finite-size scaling analysis and MPS methods. …”
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Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques
Published 1999“…A generalised variable order variable stepsize Direct Integration (01) method, a generalised Backward Differentiation method (BDF) and shooting techniques are used to solve the given BVP. When using simple shooting technique, sometimes stability difficulties arise when the differential operator of the given ODE contains rapidly growing and decaying fundamental solution modes. …”
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An integrated model for production line balancing planning
Published 2012“…Furthermore,the Simulation Model(SM)is used to solve the PLP problem to achieve the customer order by increasing the quantity of production.The new approach is called Hybrid Model of the Production Line (HMPL) which is a combination of MOM,GA,and SM.This approach is employed to solve the production line problems and to develop the efficiency of the production line.As a result,the Mixed Model(MM)that combines the MOM and GA is developed to solve the PLBP and efficiency of the Production Line System(PLS)in order to reduce the queuing and the idle time to obtain the best balance among the stations.Also the MM is applied to PLS to re-regulate the tasks'number and re-distribute the jobs to the workers among the stations in order to obtain the optimum solution.On the other hand,the SM is applied to solve the planning problem to make new plans then to make several strategies to solve the PLP problem and to achieve the customer orders.The aim of this study is to combine MM and SM to develop the efficiency of the production line and to solve both problems by using the output of MM as an input for SM and vice versa.This is a new method to obtain the best or the optimum balance among the stations and also between the quantity of customers demand and the production quantity.The method increased the ratio of production and reduced the queuing and idle time by minimizing the queuing and idle time and maximizing the productions,as well as balancing the tasks’number and distributing the jobs to the workers evenly.…”
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