Search Results - (( evolution evaluation techniques ) OR ( evolution computing techniques ))*
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Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
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Article -
2
Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Proceeding Paper -
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
4
A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
5
Evolution, design, and future trajectories on bipedal wheel-legged robot: A comprehensive review
Published 2023“…The analysis encompasses optimization techniques, sensor integration, machine learning, and adaptive control methods, evaluating their impact on robot capabilities. …”
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6
Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…The current approach encounters a significant hurdle due to the long execution time, especially when employing complex optimization techniques alongside a computationally expensive ATS repair operator that repairs multiple candidate solutions. …”
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Thesis -
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Sistem penilaian kenaikan pangkat pensyarah secara sistemetik berasaskan sistem bantuan keputusan berkumpulan
Published 2006“…The evolution prototype approach and UML modeling technique have been applied as the development methodologies to build the new system. …”
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9
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…Finally, the performance of the proposed methods is also assessed using the performance indicators such as various error measurement criteria, detection rate and false alarm and compared with recent works. Furthermore, to evaluate the efficiency of the proposed modified differential evolution for the training of ridgelet probabilistic neural network, four statistical search techniques, namely, particle swarm optimization, genetic algorithm, simulated angling, and classical differential evolution are used and their results are compared. …”
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10
Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Mobile edge computing (MEC) is a well-known technique to support delay-sensitive applications at the edge of mobile networks. …”
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Thesis -
11
Metric-based code smell detection technique for python software
Published 2018“…In the second phase, details of conceptual and architectural design of the metric-based technique are presented. Thirdly, PySTect technique is implemented and evaluated in three experiments. …”
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Thesis -
12
Evolution of NACA23012 wake vortices structure using PIV
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Article -
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems
Published 2025“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Article -
14
Computer Simulations of Pulsatile Blood Flow in Fusiform Models of Abdominal Aortic Aneurysms
Published 2012“…Flow dynamics have been investigated in model aneurysms under physiologically realistic pulsatile flow condition via computational modeling techniques. The computer simulations are based on finite element method. …”
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Article -
15
Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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Thesis -
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Addressing these OBL limitations, this research proposes a new general OBL technique inspired by a natural phenomenon of parallel mirrors systems called the Parallel Mirrors Technique (PMT). …”
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17
The development of simulation model and location accuracy for observed time difference of arrival (OTDOA) positioning technique in WCDMA and LTE system: article / Noranizah Sarbani
Published 2013“…In this paper, the goal with this work is to analyse the Location Determination Technique (LDT) based on Observed Time Difference of Arrival (OTDOA) in positioning technique in WCDMA and LTE system. …”
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”
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Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)
Published 2023Conference Paper -
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Email spam classification based on deep learning methods: A review
Published 2025“…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
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