Search Results - (( java implementation phase algorithm ) OR ( using computer competency algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Academic leadership bio-inspired classification model using negative selection algorithm
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Fuzzy adaptive emperor penguin optimizer for global optimization problems
Published 2023“…A test suite of twelve benchmark test functions and three global optimization problems: Team Formation Optimization (TFO), Low Autocorrelation Binary Sequence (LABS), and Modified Condition/ Decision coverage (MC/DC) test case generation problem were solved using the proposed algorithm. The respective solution results of the competing metaheuristic algorithms were compared. …”
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A near-optimal centroids initialization in K-means algorithm using bees algorithm
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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…This study contributes to the understanding and provides some insights of how Malaysian Primary Schools students have acquired CT skills competency using visual programming through the creation of computational artifacts. …”
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Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
Published 2020“…Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. …”
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Performance enhancement of AIMD algorithm for congestion avoidance and control
Published 2011“…National Chiao Tung University’s network simulation (NCTUns) has been used in this development to compare the new algorithm with the older versions and determine its advantages over the older versions. …”
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…It is also discovered that the hybrid-discrete MOPSO (HD-MOPSO) algorithm manages to obtain higher values in the performance metrics consisting of non-dominance ratio and hypervolume compared to the competing algorithms. …”
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Competing risks for reliability analysis using Cox’s model
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Scheduling scientific workflow in multi-cloud: a multi-objective minimum weight optimization decision-making approach
Published 2023“…We propose a novel decision-making strategy named minimum weight optimization (MWO). Multi-objective algorithms use this method to select a set of permutations that provide the best trade-off between competing objectives. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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Em Approach on Influence Measures in Competing Risks Via Proportional Hazard Regression Model
Published 2000“…A generated data where the failure times were taken as exponentially distributed was used to further compare these two methods of estimation. …”
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…The performance of the proposed CAPSOCA algorithm is compared with the PSG and ANFIS algorithms separately. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…Computational experiments were conducted on the developed algorithm coded in Matlab to test the effectiveness of the algorithm. …”
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