Search Results - (( developing cost commitment algorithm ) OR ( java application learning algorithm ))
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An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem / Mohamad Masri Mohamad Jaib
Published 2010“…The study involves the development of ACSA algorithm and engine to solve unit commitment issues. …”
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An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
Published 2010“…The study involves the development of ACSA algorithm and engine to solve unit commitment issues. …”
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Solving unit commitment using Shuffled Frog Leaping Algorithm (SFLA) / Fashirul Azmeer Mohd Fadzil
Published 2015“…The simulation results obtained using the proposed algorithm show that the minimum cost can be obtained for the schedule.…”
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Heuristic approach to solution of unit commitment for electrical system / Azizan Harun
Published 1996“…This paper describes in general view of the algorithm developed for a unit commitment solution for electrical system. …”
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Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau
Published 2003“…Dedicated artificial neural networks can handle a large number of inequality constraints included in unit commitment. Results from existing Genetic Algorithm (GA) program were used as the NN training and testing 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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A modified shuffled frog leaping algorithm and its application to short-term hydrothermal scheduling / Mohamad Khairul Hakimi Abdul Hady
Published 2016“…Short-term hydrothermal scheduling is defined as commitment and dispatching of thermal and hydro units in order to minimize the cost while fulfill the demand. …”
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Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman
Published 2013“…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
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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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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…A number of popular existing algorithms were used to execute the model developed in Rapid tool such as Naïve Bayes , Neural Net , Deep Learning, Decision Tree, Logistic Regression, SVM and k-NN. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List
Published 2023“…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”
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Optimal economic load dispatch using multiobjective cuckoo search algorithm
Published 2023“…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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UiTM Transportation Unit bus trip scheduling system / Noorzawanah Ab Rahim
Published 2009“…Scheduling is committing resources to the realization of an event at a defined time, also committing resources to a plan. …”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…The results of the evaluation clearly show that the proposed algorithms significantly reduce energy consumption while providing a high level of commitment to the SLA. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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