Search Results - (( java application optimized algorithm ) OR ( making loading optimization algorithm ))

One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network by Rahim, Muhammad Fitri

“…In this project, an Artificial Neural Network (ANN) trained by the Invasive Weed Optimization (IWO) learning algorithm is proposed for short term load forecasting (STLF) model. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

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Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Optimal load shedding in power system using back tracking search algorithm by Zulfadlizan Mohd

Comparison Between the Bees Algorithm and Genetic Algorithm Model in Manpower Allocation on Cell Loading Problem by AlMahasneh, Hossam Sayel

“…Results show that there are different factors of GA that it is not exist in the Bees Algorithm. Both of the proposed algorithm finds optimal or near optimal solutions for the MACL especially in large problems.…”
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Route Optimization System by Zulkifli, Abdul Hayy

“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie by Wan Afandie, Wan Nur Eliana Afif

“…By using Bacterial Foraging Optimization Algorithm (BFOA) technique, for each types of load shedding, the simulations are tested on IEEE 30-bus system for 3 and 5 load shedding locations. 3 different load conditions and one line outage cases are tested for 3 objective function and 3 multi-objective functions. …”
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Optimal Planning Of Distributed Generation Considering Time Varying Load by Ahmad Syahmi Aiman, Mohd Zuri

“…The purpose of this thesis is to present an effective combination method based on Backward Forward Sweep Power Flow (BFSPF) and Mix Integer Optimization by Genetic Algorithm (MIOGA) to solve the network problem in the presence of DG with the purpose of developing power flow for radial distribution system by considering time-varying load, optimize the sitting and sizing of the DG in the radial distribution network for the loss minimization and voltage improvement and make comparison radial distribution network with single and multi-DG by considering time varying load condition. …”
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Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm by Sulaima, Mohamad Fani, Alias, Nur Umirah, Wan Abdul Razak, Intan Azmira, Sardi, Junainah, Bohari, Zul Hasrizal

“…Thus, in this study, Simultaneous Demand Side Management (DSM) strategies are proposed for energy consumption cost reduction for a manufacturing energy load profile. Optimization algorithm namely Ant Colony Optimization (ACO) is implemented and cases with and without implementation of algorithm are compared in order to idealize the load profile of DSM strategy. …”
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Optimize performance load balancing techniques using binary vote assignment grid quorum (BVAGQ): A systematic review by A., Fairuzullah, A., Noraziah, R. A., Arshah, T., Herawan

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Distributed generation allocation to reduce losses and improve voltage profile genetic algorithm: article by Abdol Azis, Hazriq Syahmie

“…Considering to fitness values sensitivity in genetic algorithm process, there is needed to apply load flow for decision-making. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

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Simulated annealing algorithm for scheduling divisible load in large scale data grids. by Abdullah, Monir, Othman, Mohamad, Ibrahim, Hamidah, Subramaniam, Shamala

“…This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

“…Multi-objective optimization of HRES by Evolutionary Algorithm have become attractive in recent years due to the effectiveness of such algorithms for complicated problems. …”
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An enhanced support vector regression -African Buffalo optimisation algorithm for electricity time series forecasting by Maijama'a, Inusa Sani

“…The study presents a series of hybrid algorithms that leverage ABO to optimize SVR hyperparameters. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Virtual power plant and microgrids controller for energy management based on optimization techniques by Abdolrasol M.G.M., Mohamed A., Hannan M.A.

Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm by Abed, Adnan Ajam, Suwaed, Mahmood Sh., Al-Rubaye, Ameer H., Awad, Omar I., Mohammed, M.N, Hai, Tao, Kadirgama, Kumaran, Karah Bash, Ali A. H.

“…The DAMRF algorithm harnesses the inherent flexibility of EVs as controllable loads and develops a comprehensive dispatch model for a large-scale EV response. …”
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Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

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Optimizing capacitated electric vehicle route in logistic operations by Tiong, Samuel Fu Wei

“…As the use of eco-friendly practices in logistics grows, optimizing routes for CEVs remains challenging due to their limited energy and load capacities. …”
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