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1
An Alternative Algorithm for Soft Set Parameter Selection using Special Order
Published 2015“…This paper proposed a parameter reduction algorithm, known as 3C algorithm, to circumvent the false frequent object in reduction. …”
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Conference or Workshop Item -
2
New Parameter Reduction of Soft Sets
Published 2012“…Several algorithms exist to address the issues concerning parameter reduction of soft sets. …”
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Thesis -
3
The Parameter Reduction of the Interval-Valued Fuzzy Soft Sets and Its Related Algorithms
Published 2014“…We propose four heuristic algorithms of parameter reduction. Finally, the algorithms are compared and summarized from the aspects of easy degree of finding reduction, applicability, reduction result, exact level for reduction, multiusability, applied situation, and computational complexity. …”
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Article -
4
PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…Results suggest that the PSO algorithm is viable alternative to other established algorithms for LLS parameter estimation. …”
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Thesis -
5
Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…This comparative study aims to investigate and compare the effectiveness of the inversed control parameter in the proposed methods against the original algorithms in terms of the number of selected features and the classification accuracy. …”
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Article -
6
Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…This comparative study aims to investigate and compare the effectiveness of the inversed control parameter in the proposed methods against the original algorithms in terms of the number of selected features and the classification accuracy. …”
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Article -
7
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…In the nonlinear ANC literature, various nonlinear algorithms have been introduced. These nonlinear algorithms were employed to improve noise reduction performance. …”
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Thesis -
8
Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…The results demonstrated that our proposed method results in significant reductions of HOF, HOPP and packet loss ratio (PLR) compared to the conventional HHO and enhanced weighted performance HO parameter optimization (EWPHPO) algorithm. …”
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Thesis -
9
Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. …”
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Final Year Project -
10
Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…An analysis was done to see the effect of implementing different data reduction algorithms in classifying BSR disease. The results showed that the impedance parameter was the best in classifying BSR severity levels compared to the other dielectric properties. …”
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Thesis -
11
Optimal location and size of distributed generation to reduce power losses and improve voltage profiles using differential evolution optimization method
Published 2016“…The results obtained by using the DE method were compared with those obtained by genetic algorithm (GA) method. …”
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Thesis -
12
A review on soft set-based parameter reduction and decision making
Published 2017“…It has been widely used to identify irrelevant parameters and make reduction set of parameters for decision making in order to bring out the optimal choices. …”
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Article -
13
Optimization of k-Nearest Neighbour to categorize Indonesian’s news articles
Published 2021“…There are several filter-based feature selection methods; some are Chi-Square, Information Gain, Genetic Algorithm, and Particle Swarm Optimization (PSO). …”
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Article -
14
Efficient hybrid reduction for binary based information system in soft set theory
Published 2016“…HRSS consists of two(2) types of parameter reduction and a newly proposed object reduction. …”
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Thesis -
15
Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…This means that the algorithms use available information from the real process efficiently and a significant reduction in set-point alterations to real subprocesses is achieved. …”
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Article -
16
Optimizing capacitated electric vehicle route in logistic operations
Published 2024“…The analysis showed that these parameters significantly impacted the route optimization, leading to a reduction in total travel distance. …”
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Final Year Project / Dissertation / Thesis -
17
Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms
Published 2017“…Optimization is important to identify optimal parameters in many disciplines to achieve high quality products including optimization of thin film coating parameters. …”
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Article -
18
Decentralized Intelligent PID based controller tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator with Experimental Validation
Published 2018“…Simultaneous optimization method is implemented in optimizing the parameters. …”
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Proceeding -
19
An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis
Published 2022“…However, different clustering algorithms have different parameters that need to be specified. …”
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Book Chapter -
20
A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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