Search Results - (( java adaptation optimization algorithm ) OR ( using application maximization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm
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A novel hybrid approach for maximizing the extracted photovoltaic power under complex partial shading conditions
Published 2020“…More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. …”
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Article -
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Performance evaluation of vector evaluated gravitational search algorithm II
Published 2014“…The VEGSAII algorithm uses a number of populations of particles. …”
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On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm
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Parametric Optimization for the Maximization of Hydrogen Production by Enterobacter Cloacae
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Final Year Project -
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Optimization of milling parameters using ant colony optimization
Published 2008“…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
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Undergraduates Project Papers -
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Small Farmers' Decisions: Utility Versus Profit Maximization
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Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
Published 2014“…The VEGSA algorithms use a number of populations of particles. …”
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Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Hence, the integration of EM algorithm estimation is applicable in improving the performance of automated model selection procedures for multiple equations models…”
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Monograph -
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Evaluation and optimization of frequent, closed and maximal association rule based classification
Published 2014“…Real world applications of association rule mining have well-known problems of discovering a large number of rules, many of which are not interesting or useful for the application at hand.The algorithms for closed and maximal item sets mining significantly reduce the volume of rules discovered and complexity associated with the task, but the implications of their use and important differences with respect to the generalization power, precision and recall when used in the classification problem have not been examined.In this paper, we present a systematic evaluation of the association rules discovered from frequent, closed and maximal item set mining algorithms, combining common data mining and statistical interestingness measures, and outline an appropriate sequence of usage.The experiments are performed using a number of real-world datasets that represent diverse characteristics of data/items, and detailed evaluation of rule sets is provided as a whole and w.r.t individual classes. …”
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Using the bees algorithm to optimise a support vector machine for wood defect classification
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Performance evaluation of uncoordinated beamforming over cognitive radio network
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Proceeding Paper -
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Evaluation of data mining models for predicting concrete strength
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Final Year Project / Dissertation / Thesis
