Search Results - (( data optimization strategy algorithm ) OR ( data equalization based algorithm ))
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1
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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2
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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3
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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Thesis -
5
Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…To address relay node selection and data scheduling issues, Energy-Efficient Scheduling (EES) and Energy-Efficient Un-Scheduling (EEUS) methods have been introduced using the Improved Discrete Bat Algorithm (IDBA) along with the Adaptive Warshal Floyd algorithm (AWF). …”
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6
Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network
Published 2019“…Routing protocols for WSN are responsible for maintaining the routes between the source node and base station. The challenging issue of routing protocols is to reduce the communication overhead for data transmission by determining an optimal path. …”
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7
Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification
Published 2017“…Based on the occurrences of the best result obtained by an algorithm across different test functions; it is proven that the proposed method outperforms standard GA. …”
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Optimal design of grid-connected hybrid renewable energy system considering electric vehicle station using improved multi-objective optimization: techno-economic perspectives
Published 2024“…The rule-based energy management strategy (RB-EMS) is used to control and observe the proposed system power flow. …”
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Acquisition of new subscribers using analytical models in the telecommunication industry / Nik Muhammad Naim Nik Ghazali
Published 2020“…The proposed algorithm for building the analytical acquisition model benefits the Data Science community to explore the use of optimization model in their work domain. …”
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10
Predictive Functional Control With Reduced-Order Observer Design Using Particle Swarm Optimization For Pneumatic System
Published 2020“…Development of PFC-ROO algorithm is considered as a new control strategy for Intelligent Pneumatic Actuator (IPA) system for position control. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…In order to reduce the training time and computational cost of the algorithm, Principal Components Analysis (PCA) pretraining strategy is deployed to obtain data adaptive filter banks. …”
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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
Published 2023“…Despite extensive research employing machine learning algorithms like convolutional neural networks (CNN), challenges remain concerning input data processing, emotion classification scope, data size, optimal CNN configurations, and performance evaluation. …”
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Energy-efficient medium access control strategy for cooperative wireless networks
Published 2016“…In EAP-CMAC, the best transmission mode is selected among direct transmission, traditional cooperation and PNC-based transmission by considering the destination queue and source-destination link quality.Moreover, a joint relay selection and power allocation algorithm is proposed based on location information and the nodes residual energy that significantly improves the network lifetime and energy saving in wireless networks. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…However, due to the drawbacks of the conventional algorithm as well as the heuristic algorithms handling complicated and multi-objective reservoir optimisation, the advantages of the strategy of simultaneous exploration and exploitation led to the decision to utilise meta-heuristic algorithms in this study. …”
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Final Year Project / Dissertation / Thesis -
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Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization
Published 2022“…An alternative approach to training neural network-based equalizers is to use metaheuristic algorithms. …”
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T-way test data generation startegy with MBO algorithm
Published 2015“…This paper presented the implementation of a nature inspired metaheuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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Conference or Workshop Item -
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Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
Published 2019“…This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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Whale optimization algorithm strategies for higher interaction strength t-way testing
Published 2022“…To ensure that WOA conquers premature convergence and avoids local optima for large search spaces (owing to high-order interaction), three variants of WOA have been developed, namely Structurally Modified Whale Optimization Algorithm (SWOA), Tolerance Whale Optimization Algorithm (TWOA), and Tolerance Structurally Modified Whale Optimization Algorithm (TSWOA). …”
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Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
Published 2016“…Upon this study, a control charging system is needed to control the charging so that the distribution network is not overloaded. An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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Undergraduates Project Papers
