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1
A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. …”
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2
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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3
Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Conference Paper -
4
Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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5
Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…In recent works, it was shown that the SEF can be approximated using tangential hyperbolic function (THF) for Hammerstein and Wiener NLFXLMS algorithms, such that the degree of nonlinearity can be estimated using modelling approach. …”
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6
Disparity map algorithm for stereo matching process using local based method
Published 2022“…Global method performs a matching process using global energy or a probability function over the whole image. …”
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7
Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm
Published 2018“…In this research, swarming intelligence is used to solve optimisation problem. Grey Wolf Optimizer and Dragonfly Algorithm were chosen. …”
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8
Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization
Published 2018“…The efficiency and robustness of the proposed SCG algorithm are compared with those of different reliability methods using five nonlinear concave/convex reliability problems and two mathematical/structural RBDO examples. …”
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9
Breaking A Playfair Cipher Using Single and Multipoints Crossover Based on Heuristic Algorithms
Published 2023Conference Paper -
10
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…Particularly, swmcan addresses multi-view data noise using the l1-norm and optimizes the objective function through a novel iterative reweighted method. …”
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11
Wood texture detection with conjugate gradient neural network algorithm
Published 2017“…The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. …”
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12
Evaluation of lightning return stroke current using measured electromagnetic fields
Published 2012“…Moreover, in the proposed method, the attenuation height dependent factor can be determined using measured field while assuming it to be an unknown function based on the engineering model. …”
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13
The Multi-Objective Optimization Algorithm Based on Sperm Fertilization Procedure (MOSFP) Method for Solving Wireless Sensor Networks Optimization Problems in Smart Grid Applicatio...
Published 2018“…Our proposed method, named Multi-Objective Optimization Algorithm Based on Sperm Fertilization Procedure (MOSFP), along with other three state-of-The-Art multi-objective optimization algorithms known as OMOPSO, NSGA-II and SPEA2, are utilized in this study. …”
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14
Selection of access network using cost function method in heterogeneous wireless network
Published 2014“…This method covers the weight distribution and cost factor techniques.The weight distribution is used to measure different weights for existing wireless network based on the user's preference and mobile terminal power.The cost factor technique is also used to identify the cost for performing handover target by considering every network parameters and its weight.Results obtained showed that the algorithm has the ability to increase user's satisfaction compared to other algorithms, which consistently choose one accessible network.…”
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15
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. …”
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16
Optimal sizing of hybrid tidal, photovoltaic and battery sources of energy
Published 2015“…In the proposed method sequential Monte Carlo method is used to consider the uncertainty in renewable sources. …”
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17
FPGA-based Implementation of SHA-256 with Improvement of Throughput using Unfolding Transformation
Published 2022“…The SHA-256 hash function factor four hardware implementation was successfully tested using the Altera DE2-115 FPGA board. …”
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18
Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application
Published 2025“…The main objective of this research is to formulate unfolding transformation factor 2 and factor 4 methods into hash function design. …”
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19
Effect of fitness function on localization performance in range-free localization algorithm
Published 2024“…How to choose the best localization fitness function for a specific target is a key factor in determining whether the localization algorithm is accurate or not. …”
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20
An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. …”
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