Search Results - (( developing implementation modified algorithm ) OR ( using simulation optimization algorithm ))
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1
An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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2
Modified firefly algorithm for directional overcurrent relay coordination in power system protection / Muhamad Hatta Hussain
Published 2020“…The objectives of the studies are to develop a new optimization technique termed as Modified Firefly Algorithm (MFA) for minimizing the relay operating time, to develop a Multi-Objective Modified Firefly Algorithm (MOMFA) for minimizing both the total relay operating time and relay coordination time and to develop an integrated optimal predictor termed as Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) for accurate prediction of relay operating time. …”
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3
Simulation Of Token Bucket Algorithm For Network Traffic Performance
Published 2020“…The variables of this algorithm are modified in order to offer the effective proposed token bucket size that can be used in wired network and tested using OPNET modeler. …”
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4
Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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5
Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks
Published 2009“…Based on Zero algorithms, a Modified Zero algorithm is developed to achieve a crosstalk-free version of the algorithm. …”
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6
Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions
Published 2016“…In evaluation part, the DSMPP algorithm has been compared with two other methods.According to both simulation and experimental results, by implementing the DSMPP technique, the GMPP can be obtained faster. …”
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7
An improved particle swarm optimization (PSO) based MPPT for PV With reduced steady-state oscillation
Published 2012“…This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. …”
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8
Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…First, it presents the implementation of the cap constitutive model into ABAQUS FE software using the closest point projection algorithm. …”
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9
Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…MATLAB/SIMULINK environment is used to design and develop the PV module, DC-DC boost converter, and MPPT algorithms. …”
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10
Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…Since the developed downlink scheduler and the partial feedback scheme affect the QoS, self-configured versions of both algorithms are developed to provide QoS provisioning. …”
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11
Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…A series of algorithms in solving the inverse problem were then developed corresponding to the forward models. …”
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12
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…The methodology encompasses data acquisition, GA program development, SPM technique implementation, and simulation using MATLAB. …”
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13
Design and implementation of automatic number plate recognition on android platform
Published 2012“…The proposed ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
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14
Solving a multi-period inventory routing problem with stochastic unstationary demand rates
Published 2022“…A sensitivity analysis is performed on the critical parameters that influence the optimization results. The computational results show that the algorithms that implement this modified formulation can achieve a better optimization result. …”
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15
Solving a multiperiod inv entory routing problem with stochastic unstationary demand rates
Published 2022“…A sensitivity analysis is performed on the critical parameters that inf luence the optimization results. The computational results show that the algorithms that implement this modified formulation can achieve a better optimization result. …”
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16
Design of self-tuning minimum effort active noise control with feedback inclusion architecture
Published 2009“…It was found that the optimal controller designed using this technique which is constrained only by the accuracy of the two models identified using recursive least squares algorithm, yields good cancellation level. …”
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Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…Tuning and adaptation of the control algorithm had been demonstrated so developers can make use of them for their applications. …”
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18
Techno-economic Analysis of a Stand-alone Photovoltaic-Diesel Hybrid System for Rural Applications
Published 2019“…The framework and the generic algorithm of optimizing are modified according to the objectives of this study. …”
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19
Structural health monitoring using adaptive wavelet functions / Seyed Hossein Mahdavi
Published 2016“…As a consequence, the computational performance of structural health monitoring strategies will be directly influenced by the higher computational competency and convergence rate of the proposed wavelet-based method for structural simulation. Accordingly, in the second part of this research, the procedure of structural identification and damage detection has been developed by employing the wavelet-based method through the modified genetic algorithms (GAs) to optimally solve inverse problems. …”
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