Search Results - (( basic optimization method algorithm ) OR ( based information method algorithm ))

Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Intelligently tuned weights based robust H∞ controller design for pneumatic servo actuator system with parametric uncertainty by Ali, Hazem Ibrahim, Mohd Noor, Samsul Bahari, Bashi, Sinan Mahmod, Marhaban, Mohammad Hamiruce

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Optimal resource allocation for NOMA wireless networks by Albogamy, Fahad R., Aiyashi, M. A., Hashim, Fazirul Hisyam, Imran Khan, Choi, Bong Jun

“…The major goal is to maximize the users’ maximum weighted sum rate. The suggested algorithm’s most notable feature is that it converges to the global optimal solution. …”
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Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan by Wan Chik, Wan Adnan

“…Web Based Applications for Energy Management System can be broadly classified into three basic methods. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Implementation of Symmetric Rank-One Methods for Unconstrained Optimization by Khiyaban, Farzin Modarres

“…We then examine a new scaled memoryless SR1 method based on modied secant equation for solving large-scale unconstrained optimization problems. …”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…The localization accuracy and robustness of comparison indicated that the developed DWGWO-DV-Hop algorithm super outperforms the other classical range-free methods. …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller by Zaridah, Mat Zain

“…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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A simplified PID-like ANFIS controller trained by genetic algorithm to control nonlinear systems by Lutfy, Omar Farouq, Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce, Abbas, Kassim A.

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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection by Ghanem, Waheed Ali Hussein Mohammed

“…Those problems lend themselves to the realm of optimization. Considering the wide success of swarm intelligence methods in optimization problems, the main objective of this thesis is to contribute to the improvement of intrusion detection technology through the application of swarm-based optimization techniques to the basic problems of selecting optimal packet features, and optimal training of neural networks on classifying those features into normal and attack instances. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation by Hamzah, Rostam Affendi, Zainal Azali, Muhammad Nazmi, Mohd Noh, Zarina, Tengku Wook, Tg Mohd Faisal, Zainal Abidin, Izwan

“…The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. …”
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Image watermarking optimization algorithms in transform domains and feature regions by Tao, Hai

“…As a result,it will first introduce the theories about the feature extraction and the basic principles on how feature points can act as locating resynchronization between watermark insertion and extraction discussed in detail.Subsequently,it will present several content-based watermark embedding and extraction methods which can be directly implemented based on the synchronization scheme.Further detailed watermarking schemes which combine feature regions extraction with counter propagation neural network-based watermarks synapses memorization are then presented.The performance of watermarking schemes based on framework of feature point shows the following advantages:a)Good imperceptibility. …”
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Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

“…The Weighted Least Squares (WLS) method is the most popular technique of SE. This thesis provides solutions to enhance the WLS algorithm in order to increase the performance of SE. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Bujang, Nazarudin, Yahya, Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasri, Yosza Dasri, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems by Muhammad Sam’An, Muhammad Sam’An, Yosza Dasril, Yosza Dasril, Chandrasekar Ramasamy, Chandrasekar Ramasamy, Nazarudin Bujang, Nazarudin Bujang, Yahya Nur Ifriza, Yahya Nur Ifriza

“…The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. …”
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