Search Results - (( based location based algorithm ) OR ( changes optimization method algorithm ))

Investigation of firefly algorithm and chaos firefly algorithm for load prequency control / Zaid Najid by Zaid, Najid

“…Result shows that the CFA is the best optimization method due to its robustness and consistency. …”
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An improved particle swarm optimization (PSO) based MPPT for PV With reduced steady-state oscillation by Ishaque, K., Salam, Z., Amjad, M., Mekhilef, Saad

“…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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A review of maximum power point tracking algorithms for wind energy systems by Abdullah, M.A., Yatim, A.H.M., Tan, C.W.A., Saidur, Rahman

“…This paper reviews state of the art maximum power point tracking (MPPT) algorithms for wind energy systems. Due to the instantaneous changing nature of the wind, it is desirable to determine the one optimal generator speed that ensures maximum energy yield. …”
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Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

“…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

“…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

“…Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. …”

Probabilistic load flow�based optimal placement and sizing of distributed generators by Hossain F.A., Rokonuzzaman M., Amin N., Zhang J., Mishu M.K., Tan W.-S., Islam M.R., Roy R.B.

“…Electric load flow; Environmental impact; Genetic algorithms; Investments; Location; Operating costs; Probability distributions; Distributed generation; Distributed generation resources; Distributed generators; Distribution network; Electrical energy demand; Flow based; Location optimization; Optimal placement and sizings; Probabilistic load flow; Distributed power generation…”

Genetic algorithm tuning based PID Controller for liquid-level tank system by Mohammed Obaid, Ali, S. P., Koh, K. H, Chong, S.K., Tiong, Zeyad Assi, Obaid

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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

“…Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. …”
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Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth by Safwan, C.M.A., Mohd Saad, N., Abas, M.F., Ab-Ghani, S., Ali, A.

“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). The solution of the distribution power flow is based on the backward/forward sweep method to compute the voltage at every node of the buses followed by the determination of power loss. …”
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Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth by Safwan, C.M.A., Mohd Saad, N., Abas, M.F., Ab-Ghani, S., Ali, A.

“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). The solution of the distribution power flow is based on the backward/forward sweep method to compute the voltage at every node of the buses followed by the determination of power loss. …”
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Optimization of distributed generation using mix-integer optimization by genetic algorithm (MIOGA) Considering Load Growth by Che Muhamad Asad Safwan, Che Aziz, Norhafidzah, Mohd Saad, Mohammad Fadhil, Abas, Suliana, Ab Ghani, Ali, Abid

“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). The solution of the distribution power flow is based on the backward/forward sweep method to compute the voltage at every node of the buses followed by the determination of power loss. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems by Ariafar, Shahram

“…In order to validate the models several cases are generated and demonstrated by two methods, Lingo 12.0 optimization software and an enumeration algorithm which is developed in C/C++. …”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment by Sojodishijani, Omid

“…Data arrives from operational field in a stream model and similarity-based classification algorithms must identify them with acceptable performance. …”
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A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan by Nauman , Khan

“…PMTRF modules and their algorithms enable the isolation of the maintenance switch and the selection of the most reliable path for future affected flows based on input time provided by the administrator. …”
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Enhancing reservoir simulation models with genetic algorithm optimized neural networks across diverse climatic zones / Saad Mawlood Saab by Saad Mawlood , Saab

“…The research improved the predictive models by integrating them with the Genetic Algorithm (GA). The optimizer algorithm (i.e., GA) determines the optimal input variables and internal parameters in the prediction models. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

“…Since the proposed models (like similar models in the literature) are likely to fall into local optimum points, a Branch and Bound based heuristic, a hybrid Simulated Annealing and Genetic algorithm, a hybrid Tabu search and Simulated Annealing, a hybrid Genetic algorithm and Simulated Annealing, a hybrid Ant Colony Optimization and Simulated Annealing and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms are developed. …”
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Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei by Chen , Shilei

“…In addition, the combination of PCA-reduced FRF and mode shapes shows a positive correlation between the magnitude of the resonant peak and the displacement of the impact point in identifying the damage location of the plate. In conclusion, the supervised learning method using FRF change is convenient and effective in identifying the damage state of the plate, and can be optimized through mode shape assessment. …”
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Optimum calculation of tilt angles and components of standalone photovoltaic system to harvest solar energy by Ahmed, Ameen Sarhan Abdullah

“…Optimization and configuration algorithm of sizing SAPV system is implemented using MATLAB and hourly meteorological data and load demand. …”
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Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan by Mohd Amdan, Muhammad Awwab

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