Search Results - (( java implication based algorithm ) OR ( time evaluation case algorithm ))
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
Published 2024“…For case study 2, the ACO algorithm achieved a best distance of 1071 (u) with execution time 1.91 (s), while the GA algorithm resulted in a best distance of 1082 (u) with execution time 0.08 (s). …”
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Conference or Workshop Item -
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New algorithm for evaluation of electric fields due to indirect lightning strike
Published 2010“…In this paper, using dipole method, Maxwell's equation and Cooray-Rubinstein formula, a new method for calculation of electric field in time domain is proposed. In addition, this proposed algorithm can also be used to evaluate the effect at the far distance cases of observation point from lightning channel.…”
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Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks
Published 2022“…In the third part, the worst-case AVB latency under overlapping-based TT windows (AVB-OBTTW) algorithm is presented to examine the OFWOS effects on AVBlatency performance, where represents an AVB queue, i.e., { }. …”
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River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia
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Test Cases Minimization Strategy Based On Flower Pollination Algorithm
Published 2016“…Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. …”
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Conference or Workshop Item -
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Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Thesis -
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Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider
Published 2019“…The steady error of the proposed controller also gives the smallest steady state error of four times smaller than ISTSMC and backstepping ISMC and two times smaller than backstepping STSMC in all cases for pitching angle and 1000 times smaller than ISTSMC and 100 times smaller than backstepping ISMC and backstepping STSMC for excess mass. …”
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Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system
Published 2021“…All four MPPT methods were simulated and real-time evaluated under 10 constant irradiance test cases, 30 dynamic irradiance test cases and 100 partial shaded irradiance test cases. …”
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A study on the VLSI partitions: the implementation of Fiduccia-Mattheyses algorithm / Burhanuddin Omar
Published 1997“…An iterative mincut heunstic for partitioning networks is presented whose worst case computation time, per pass, grows linearly with the size of the network. …”
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Ringed seal search for global optimization via a sensitive search model / Younes Saadi
Published 2018“…The quality of the algorithm is comprehensively evaluated on various standard benchmark test functions using variety of quality metrics and using three baseline algorithms for comparison. …”
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Thesis -
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Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job
Published 2012“…Also, to evaluate the proposed method of scheduling, a case study in an automotive manufacturing company (IKCO) is conducted. …”
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Thesis -
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Online Programming Judge System (UOJ)
Published 2013“…Moreover, the mechanism of test cases generation using PSO algorithm is deeply analyzed. …”
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Final Year Project -
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T-way testing : a test case generator based on melody search algorithm
Published 2015“…However, exhaustive testing is impossible that is required a huge amount of cost and time. This thesis is research on developing a T-Way Testing : A Test Case Generator Based On Melody Search Algorithm (TTT-MS) to generate optimum final test list. …”
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Undergraduates Project Papers -
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A novel N-input voting algorithm for X-by-wire fault-tolerant systems
Published 2014“…The results of analyzed evaluations through plots and statistical computations have demonstrated that this novel algorithm does not have the limitations of some popular voting algorithms such as median and weighted; moreover, it is able to significantly increase the reliability and availability of the system in the best case to 2489.7% and 626.74%, respectively, and in the worst case to 3.84% and 1.55%, respectively.…”
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Worst-case latency analysis for AVB traffic under overlapping-based time-triggered windows in time-sensitive networks
Published 2022“…But worst-case AVB latency evaluation under overlapped TT windows is also essential for critical optimizations and tradeoffs. …”
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