Search Results - (( developing implementation level algorithm ) OR ( using simulation optimization algorithm ))
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Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm
Published 2023Article -
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Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…The simulator called Optimal Digital Circuit Structure Designer (ODCSD) is also developed in this work. …”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Predictive modeling of condominium prices using a Particle Swarm Optimization-Random Forest approach / Che Wan Sufia Che Wan Samsudin
Published 2025“…Essential phases of the project include data collection, data preprocessing, and the implementation of the Particle Swarm Optimization-Random Forest price prediction algorithm. …”
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Interferometric array planning using division algorithm for radio astronomy applications
Published 2017“…In the second scheme, a genetic algorithm is developed, in order to optimize a correlator array of antennas by using Genetic Algorithm (GA). …”
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Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin
Published 2013“…In some cases, the prediction errors of Taguchi ANN model was found larger than 10% even using a Levenberg Marquardt training algorithm. To overcome the problem, a hybrid genetic algorithm-based Taguchi ANN (GA-Taguchi ANN) has been developed. …”
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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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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…UBACO is created with the aim to reduce the comprehensive complexity of the high-level granularity policy model, and EIARS is developed with the aim to reduce the number of checked rules during the authorization process. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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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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Artificial neural controller synthesis for TORCS
Published 2015“…As a conclusion, this research has shown that the DE hybrid FFNN algorithm and PDE hybrid FFNN algorithm are useful and promising in evolving autonomous car racing controller.…”
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Automatic nutrient mixer and pH Level for hydroponic application / Hariz Akmal Azizan
Published 2024“…This project presents the design and development of Automatic Nutrient Mixer and pH Level for Hydroponic Application using an Arduino microcontroller. …”
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Student Project -
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A high-performance control scheme for photovoltaic pumping system under sudden irradiance and load changes
Published 2018“…The proposed algorithm is based on a current control approach of the boost converter with a model predictive current controller to select the optimal control action. …”
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Minimization of torque ripple and flux droop using optimal DTC switching and sector rotation strategy
Published 2022“…A modification torque error status and a look-up table of a five-level CHB inverter were used to implement the specified optimal voltage vectors. …”
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Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System
Published 2009“…A state-of-the-art method which is called simulation optimization has been utilized to implement the proposed scheduling method. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…The Whale Optimisation Algorithm (WOA), Harris Hawks Optimisation (HHO) Algorithm, Lévy Flight WOA (LFWOA) and the Opposition-Based Learning of HHO (OBL-HHO) were proposed to simulate the initial model’s response and optimise the Klang Gate Dam (KGD) release operation with observed inflow, water level (storage), release, and evaporation rate (loss). …”
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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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Enhancing campus mobility: simulated multi-objective optimization of electric vehicle sharing systems within an intelligent transportation system frameworks
Published 2025“…The main objectives are to reduce the number of unserved demands and operational costs. A simulation model was developed in MATLAB, utilizing the Non-dominated Sorting Genetic Algorithm (NSGA-II), a powerful multi-objective optimization technique that balances conflicting objectives to achieve the best trade-offs for operational efficiency. …”
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Design and implementation of a new multilevel inverter topology with shared power switches / Jafferi bin Jamaludin
Published 2014“…The performance of the proposed inverter is analyzed through MATLAB/SIMULINK simulation. The hardware prototype of the proposed multilevel inverter using digital signal processors (DSPs) in implementing the proposed modulation and current control algorithms has been developed for validation.…”
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