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Alternative method for economic dispatch utilizing grey wolf optimizer
Published 2015“…Small Alternative method for economic dispatch utilizing grey wolf optimizer improvements in optimal output scheduling can contribute significantly in term of cost savings. …”
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Optimization of distributed generation using mix-integer optimization by genetic algorithm (MIOGA) Considering Load Growth
Published 2022“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). …”
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Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth
Published 2022“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). …”
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Optimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth
Published 2022“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). …”
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Artificial neural network and inverse solution method for assisted history matching of a reservoir model
Published 2017“…The result of the case study has successfully demonstrated the efficacy of the proposed algorithm for history matching. © Research India Publications.…”
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Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…In order to realize the first aspect, a combination of particle swarm optimization (PSO) algorithm and firefly algorithm (FA) can be used to maximize the amount of remaining load and the voltage stability index (SI) in the distribution network. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…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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A Hankel matrix based reduced order model for stability analysis of hybrid power system using PSO-GSA optimized cascade PI-PD controller for automatic load frequency control
Published 2020“…The gains of the controller were optimized by minimizing the integral absolute error (IAE) of area control error using particle swarm optimization-gravitational search algorithm (PSO-GSA) optimization technique. …”
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Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation
Published 2024“…Through simulation tests of the SSTS system, the accuracy and effectiveness of the developed FLC and design procedure are demonstrated. The optimized fuzzy controller shows superior performance in terms of transfer time, detection time, and harmonic reduction in comparison to those obtained without the PSO algorithm in all tested cases. � 1972-2012 IEEE.…”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…In the case of real datasets, the proposed method yields 12.16% average misclassification error while the average misclassification error for five different methods GAM, TSY, NWKNN, DWM and FISH is 19.54%. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…The Moran I index using distance decay method to generate the weight gave a spatial autocorrelation of -0.33. …”
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Mathematical modelling and hybrid ACO-PSO technique for PV performance improvement
Published 2016“…Secondly, a hybrid Ant Colony Optimisation-Particle Swarm Optimisation (ACO-PSO) algorithm was proposed to optimally determine the MPPT parameters. …”
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Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
Published 2023“…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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Optimal operation of hydropower reservoirs under climate change
Published 2024“…The study�s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. …”
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Test case minimization applying firefly algorithm
Published 2018“…The proposed test case minimization method has the following steps: provide weight to the paths, calculate path coverage for each path, transform an immediate graph into an adjacency matrix, which later is used to apply firefly algorithm and generate optimal test cases. …”
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Optimization Of Bar Linkage By Using Genetic Algorithms
Published 2005“…This thesis presents the method of using simple Genetic Algorithms (GAs) in optimizing the size of bar linkage with discrete design variables and continues design variables. …”
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…This thesis presents a method for generating feasible test cases from UML state machine models with OCL constraints. …”
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Optimal operation of hydropower reservoirs under climate change
Published 2023“…The study�s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. …”
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
Published 2020“…To evaluate the performance of the proposed IBOA training method, the obtained results are compared to the results of the momentum backpropagation (MBP), the particle swarm optimization (PSO) and the standard butterfly optimization algorithm (BOA) training methods. …”
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