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Explicit solution of parameter estimate using multiparametric programming for boost converter
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Control algorithm for two-tank system using multiparametric programming
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
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Hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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A hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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New completion time algorithms for sequence based scheduling in multiproduct batch processes using matrix
Published 2008“…All these parameters directly or indirectly affect the makespan, i.e. completion time of a batch process. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm
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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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