Search Results - (( variable operations considering algorithm ) OR ( java application learning algorithm ))
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Published 2019“…To examine the optimized model performance, the simulation of a dam and reservoir system is usually carried out for a particular period utilizing the generated operation rule. During the simulation procedure, although reservoir inflow and evaporation are stochastic variables that are required to be forecasted during simulation, they are considered deterministic variables. …”
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Fault diagnostic algorithm for precut fractionation column
Published 2004“…The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…Fuel consumption, water, and P-fertilizer consumption are considered the most important variables in oil palm plantation operations, its importance being the relative values of 45%, 34.3 %, and 23 %. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Using Particle Swarm Optimization Algorithm in the Distribution System Planning
Published 2013“…Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. …”
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Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail
Published 2024“…Thus a reliable optimisation approach is crucial to ensure the economic operation of the power system. The practice of only considering a single objective may affect the operation since only one objective function is considered. …”
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Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
Published 2018“…In real-world software testing, the input variables may vary in how strongly they interact, variable strength combinatorial interaction testing (VS-CIT) can exploit this for higher effectiveness. …”
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Book Chapter -
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Optimal power flow solutions for power system operations using moth-flame optimization algorithm
Published 2021“…ORPD has a considerable impact on the economic and the security of the electric power system operation and control. ORPD is considered a mixed nonlinear problem because it contains continuous and discrete control variables. …”
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Using particle swarm optimization algorithm in the distribution system planning
Published 2013“…Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. …”
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A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data
Published 2022“…Actual variable load data and PV generation data are considered to conduct the simulation case studies which are col-lected from a real IMG system. …”
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End
Published 2012“…The solution obtained from the LB–MILP model, i.e., the decision variables (binary variables), was used to obtain a feasible solution for model UB–NLP. …”
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Final Year Project -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Power management system for smart microgrid considering meteorological and load demand data / Sam Koohikamali
Published 2015“…Microgrid is able to supply its local load based on operator decision and decline the power oscillations caused by solar photovoltaic (PV) plant together with variable loads. …”
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