Search Results - (( using rule method algorithm ) OR ( basic optimization based algorithm ))

Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment by Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati

“…In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method. …”
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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.

“…Moreover, the GA was used to find the optimal settings for the input and output scaling factors for this controller, instead of the widely used trial and error method. …”
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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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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Real-time oil palm fruit bunch ripeness grading system using image processing techniques by Alfatni, Meftah Salem M.

“…These results are optimal based on the thorns model. A new approach was developed using expert rules-based system. …”
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Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

“…These methods are M1 and M2, and they basically differ in the type of input-output data used to train the artificial neural network. …”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic teaching learning-based optimization on 23 unconstrained global test functions. …”
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A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

“…Using Classifier-based attribute subset selection will reduce more attributes, but sacrifice the performance of the classifier.A hybrid ant colony optimization with simulated annealing algorithm to discover rules from data is proposed.The simulated annealing technique will minimize the problem of low quality discovered rule by an ant in a colony.The best rule for a colony will then be chosen and later the best rule among the colonies will be included in the rule set.The best rule for a colony will then be chosen and later the best rule among the colonies will be included in the rule set.The rule set is arranged in decreasing order of generation.Thirteen data sets which consist of discrete and continuous data were used to evaluate the performance of the proposed algorithm in terms of accuracy, number of rules and number of terms in the rules.Experimental results obtained from the proposed algorithm are comparable to the results of the Ant-Miner algorithm in terms of rule accuracy but are better in terms of rule simplicity.…”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem by Lee, Wei Wen, Hashim, Mohd Ruzaini

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Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm by Othman, Mahmod, Khalid, Shaiful Annuar, Abdullah, Fader, Amir Hamzah, Shezrin Hawani, Ku-Mahamud, Ku Ruhana

“…The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.…”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP by Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Muzaffar Hamzah, Aida Mustapha, Angela Amphawan

“…Several variants of PSO have been proposed for solving discrete optimization problems like TSP. Among them, the basic algorithm is the Swap Sequence based PSO (SSPSO), however, it does not perform well in providing high quality solutions. …”
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Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis by Siti Nur Hidayah, Mazelan

“…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
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