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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM
Published 2007“…The design and analysis of the motor are performed using software tools within the C/C++ programming environment. The optimal design parameters of the motor obtained by GA are compared with those obtained by SA technique. …”
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Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…The first case is the known initial state without constraint, which is the ideal case for study or more likely for programming validation purposes. …”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…For solving TTRP, a variety of algorithms have been applied earlier but TTRPSD programming has not yet solved. …”
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
Published 2021“…The study aims to investigate the effect of both parameter, TOC, and mineralogy on the shale wettability with a case study of Malaysian shale sample. …”
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Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Several optimization algorithms under Python’s LMfit package, such as Levenberg-Marquardt, Nelder-Mead, Trust-Region Reflective and Sequential Linear Squares Programming; are employed to estimate the related parameters, in such that the numerical solution of the ODEs will fit the data with the slightest error. …”
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A hybrid optimization technique for solving economic emission load dispatch problems
Published 2023text::Final Year Project -
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…The main advantage of this algorithm is that no algorithm-particular controlling parameters are required for this algorithm. …”
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Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction
Published 2016“…Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. …”
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Development of least square adjustment application for traversing / Harith Fadhillah Soeb
Published 2019“…In addition, the development stage started by perform calculation process using MATLAB software. Next, the algorithm for calculation process was generated using the Eclipse application that uses Java programming language. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Optimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Model
Published 2024“…In this paper, a novel scheduling algorithm based on a mixed-integer programming (MIP) model is proposed for the HEMS. …”
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