Search Results - (( java implementation bat algorithm ) OR ( causing program based algorithm ))
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…While all these techniques give us good insight on fault localization, but it appears that these techniques are made based on the assumption that the faults are caused by a single fault. …”
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Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
Published 2021“…This paper presents a statistical algorithm for classification of fault causes on power transmission lines. …”
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Differential equation fault location algorithm with harmonic effects in power system
Published 2023“…Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.…”
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Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat
Published 2008“…This thesis presents the Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission system. …”
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An approach for cross-site scripting detection and removal based on genetic algorithms.
Published 2014“…The proposed approach is, so far, only implemented and validated on Java-based Web applications, although it can be implemented in other programming languages with slight modifications. …”
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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Thesis -
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Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network
Published 2023“…This paper presents a statistical algorithm for classification of fault causes on power transmission lines. …”
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Hazard identification on fractionation column using rule based expert system
Published 2001“…The link between Hazard and Operability Study result documentation with data base of process operation is important, in order to analyse the causes and consequences of the whole process deviation on fractionation column. …”
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Cross-site scripting detection based on an enhanced genetic algorithm
Published 2015“…The proposed approach is, so far, only implemented and validated on Java-based Web applications, although it can be implemented in other programming languages with slight modifications. …”
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Conference or Workshop Item -
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Lightning fault classification for transmission line using support vector machine
Published 2023“…The proposed method was implemented in the MATLAB/SIMULINK programming platform. The classification performance of the developed algorithms was evaluated using confusion matrix. …”
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