Search Results - (( developing developing hybrid algorithm ) OR ( java implication based algorithm ))
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1
Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
Published 2012“…The hybrid algorithm is applied in prototype development where in process on solving Sudoku. …”
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2
Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Purpose – The purpose of this paper is to develop a hybrid algorithm using differential evolution (DE) and prediction error modeling (PEM) for identification of small-scale autonomous helicopter state-space model. …”
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3
Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation
Published 2012“…To investigate the characteristics of hybrid rocket performance we develop generic algorithm code. …”
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Proceeding Paper -
4
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. …”
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5
Design and Development of Hybrid Maximum Power Point Tracking Algorithm for Photovoltaic Cell
Published 2013“…Moreover designed algorithm is developed using matlab and will be validate using real time data from the PV cell and the output will be compared with current algorithms.…”
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Final Year Project -
6
Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E
Published 2013“…In this research, two algorithms tailored at enhancing the performance of hybrid algorithms in the WiMAX domains have been designed and developed. …”
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7
Development of hybrid artificial intelligent based handover decision algorithm
Published 2017“…Hence, in this paper, the development of novel hybrid artificial intelligent handover decision algorithm has been developed. …”
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8
Long term energy demand forecasting based on hybrid, optimization: Comparative study
Published 2012“…The objective of this research is to develop a long term energy demand forecasting model that used hybrid optimization.To accomplish this goal, a hybrid algorithm that combined a genetic algorithm and a local search algorithm method has been developed to overcome premature convergence.Model performances of hybrid algorithm were compared with former single algorithm model in estimating parameter values of an objective function to measure the goodness-of-fit between the observed data and simulated results.Averages error between two models was adopt to select the proper model for future projection of energy demand.…”
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9
Hybrid particle swarm optimization algorithm with fine tuning operators
Published 2009“…This paper introduces a new approach called hybrid particle swarm optimization like algorithm (hybrid PSO) with fine tuning operators to solve optimisation problems. …”
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10
Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…The focus of this study is developing a framework of QAPU and hybrid architecture for classical-quantum algorithms. …”
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11
Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
Published 2016“…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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Undergraduates Project Papers -
12
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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13
Development of hybrid algorithm of residual bootstrap artificial neural network based on sukuk volatility forecast model.
Published 2018“…Development of hybrid algorithm of residual bootstrap artificial neural network based on sukuk volatility forecast model. by Nurul Hila Zainuddin…”
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research_report -
14
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem of HS parameter selection. …”
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15
Key schedule algorithm based on coordinate geometry of a three-dimensional hybrid cube
Published 2019“…The Hybrid Cube Encryption Algorithm (HiSea) has been implemented to validate the encryption keys that are generated from the proposed algorithm. …”
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16
Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…Besides, having obtained a p-value of 0.241 which is greater than 0.05 in a paired sample t-test shows that there is no difference between the results of BARON and the hybrid GA-PSO. This proves the capability of the developed hybrid algorithm in solving the formulated model.…”
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17
A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…The purpose is benefitting from the synergies obtained from combining these technologies for the development of classification models. Such a combination creates an opportunity to invest in the strength of each algorithm, and is an approach to make up for their deficiencies. …”
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18
Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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19
Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
Published 2012“…This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. …”
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Conference or Workshop Item -
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Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
Published 2013“…In some cases, the prediction errors of Taguchi ANN model was larger than 10 even with Levenberg Marquardt training algorithm. To overcome such problem, a hybrid genetic algorithm-based Taguchi ANN (GA-Taguchi ANN) has been developed. …”
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