Search Results - (( evolution simulation approach algorithm ) OR ( using function mining algorithm ))
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1
Queen-bee evolution approach to prc-based papr reduction for ofdm systems
Published 2011“…The thesis proposed the adoption of Queen-bee Evolution approach for Genetic Algorithm (QBEGA) concept to improve the Genetic Algorithm for generating suboptimum peak reduction carriers (PRCs) for the orthogonal frequency division multiplexing (OFDM) systems employing a large number of sub-channels as contributed by Tan (2003a). …”
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Thesis -
2
Differential evolution technique of HEPWM for three-phase voltage source inverter
Published 2016“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Explanation of DE algorithm execution is given, and the best approach of mutation strategy selection used in DE has been investigated. …”
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Thesis -
4
Tree-based contrast subspace mining method
Published 2020“…Those subspaces are termed as contrast subspaces. All existing mining contrast subspace methods (i.e. CSMiner and CSMiner-BPR) use density-based likelihood contrast scoring function to estimate the likelihood of a query object to target class against other class in a subspace. …”
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5
Resource allocation in coordinated multipoint long term evolution-advanced networks
Published 2015“…Simulation study shows that the ORA algorithm improves the network sum-rate and fairness index up to 70% and 25%, respectively and reduces the average transmit power by 41% in relative to LRA algorithm. …”
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6
Evaluation of data mining models for predicting concrete strength
Published 2024“…The best performing model is selected and used to generate different sets objective-function that will be selected and used in a Particle Swarm Optimization algorithm to solve a single objective optimization problem that finds the optimal values of each concrete feature to maximize the strength of concrete. …”
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Final Year Project / Dissertation / Thesis -
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Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization
Published 2009“…This article describes a simulation model in which a multi-objective approach is utilized for evolving an artificial neural networks (ANNs) controller for an autonomous mobile robot. …”
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Dissimilarity algorithm on conceptual graphs to mine text outliers
Published 2009“…In Comparison to other text outlier detection method, this approach managed to capture the semantics of documents through the use of CGs and is convenient to detect outliers through a simple dissimilarity function.Furthermore, our proposed algorithm retains a linear complexity with the increasing number of CGs.…”
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Conference or Workshop Item -
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Selective Harmonics Elimination PWM (SHEPWM)Using Differential Evolution Approach
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Conference or Workshop Item -
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Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation
Published 2018“…Thus, an improved global search space differential evolution algorithm for tracking the GMPP is introduced in this paper. …”
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Evolving controllers for simulated car racing using differential evolution
Published 2013“…The Differential Evolution (DE) algorithm is combined with Feed-forward Artificial Neural Networks (FFANNs) to generate the required intelligent controllers in a well-known car racing game, namely The Open Racing Car Simulator (TORCS). …”
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HEPWM using differential evolution technique for three phase voltage source inverter
Published 2016“…This paper presents the implementation of Differential Evolution (DE) algorithm to solve Harmonic Elimination Pulse-Width Modulation (HEPWM) problem. …”
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13
Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…This research explores a new approach of using a multi-objective evolutionary algorithm (MOEA) to evolve robot controllers in performing phototaxis tasks while avoiding obstacles in a simulated 30 physics environment, to overcome problems involving more than one objective, where these objectives usually trade-off among each other and are expressed in different units. …”
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Research Report -
14
A Rough-Apriori Technique in Mining Linguistic Association Rules
Published 2008“…It uses the rough membership function to capture the linguistic interval before implementing the Apriori algorithm to mine interesting association rules. …”
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Book Chapter -
15
Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability
Published 2024“…Based on the findings, the proposed logic mining model outperformed other baseline logic mining models for all the performance metrics used in the repository dataset. …”
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Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica...
Published 2021“…Purpose: This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. Design/methodology/approach: The optimal modulation index along with the switching angles are calculated for an 11 level inverter. …”
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Article -
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
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Thesis -
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Evolution strategy for collaborative beamforming in wireless sensor networks
Published 2013“…Evaluations have been carried out through simulation and result show that the performance using ES is improved by 18.7 % convergence speed as compared to the conventional one-bit feedback (C1BF) approach. …”
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Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution
Published 2010“…For this research, three Evolutionary Algorithm (EA) (Genetic Algorithm (GA), Differential Evolution (DE), and POE) is use to evolve a Feed-Forward Artifitial Neural Networks (FFANN) to playa custom made map in Warcraft III and the outcome is compared amng them. …”
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