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Application of a New Efficient Normal Parameter Reduction Algorithm of Soft Sets in Online Shopping
Published 2014“…A new efficient normal parameter reduction algorithm of soft set in decision making was proposed. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The findings of this research provide two new iterative algorithms for estimating the parameters of the AFT model with interval-censored data, and also two new resampling techniques for estimating the covariance matrix of estimators. …”
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A novel normal parameter reduction algorithm of soft sets
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Parameter-Less Simulated Kalman Filter
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…The optimal simulation parameters can be used for the real application. FOA is suitable for applications that need a small number of agents; in the range of 8 to 24 only. …”
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Optimization of turning parameters using genetic algorithm method
Published 2008“…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). This method was demonstrated for the optimization of machining parameters for turning operation using conventional lathe machines. …”
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Designing new chaotic and hyperchaotic systems for chaos-based cryptography
Published 2019“…Unlike the existing algorithms, the proposed algorithm keeps the parameters constant with varying the initial conditions that show no non-chaotic behaviors. …”
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