Search Results - (( developing future (evolutionary OR evolution) algorithm ) OR ( java implication _ algorithm ))
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Application of Evolutionary Algorithm for Assisted History Matching
Published 2014“…In this project, we will define and discuss the application of evolutionary algorithm in assisted history matching. …”
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Final Year Project -
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Chaotic mutation immune evolutionary programming for photovoltaic planning in power system / Sharifah Azma Syed Mustaffa
Published 2020“…New automatic contingency analysis and ranking algorithm due to line and generator outages were separately developed considering the FVSI value. …”
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From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks
Published 2017“…Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. …”
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Resource allocation in coordinated multipoint long term evolution-advanced networks
Published 2015“…The proposed resource allocation algorithm has been proven to provide a significant improved performance for CoMP LTE-Advanced network and can be extended to future 5G network.…”
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Implementation of evolutionary computing models for reference evapotranspiration modeling: Short review, assessment and possible future research directions
Published 2019“…Most recently, advanced machine learning models have been developed for the estimation of ETo. Among several machine learning models, evolutionary computing (EC) has demonstrated a remarkable progression in the modeling of ETo. …”
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Overview of Evolutionary Algorithms and Neural Networks for Modern Mobile Communication
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Autonomous Robot Navigation in Unknown Maze Environment
Published 2012“…The objective of this project is to design and develop an autonomous robot navigation using a selected algorithm which is pledge algorithm by using the concept of obstacle avoidance besides studying its accuracy to solve the given environment. …”
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Final Year Project -
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A holistic review on artificial intelligence techniques for well placement optimization problem
Published 2020“…Nature-inspired gradient-free optimization algorithms like particle swarm optimization, genetic algorithm, covariance matrix adaptation evolution strategy and differential evolution have been utilized in this area. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2018“…This thesis proposed an efficient algorithm, namely, the Quality of Service (QoS) and Energy Efficient Aware (QEEA). …”
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Book Section -
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir
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Network Reconfiguration And Distributed Generation Sizing In Radial Distribution System Using Improved Evolutionary Particle Swarm Optimization
Published 2017“…Thus, the first objective of this research is to develop an optimization technique named Improved Evolutionary Particle Swarm Optimization (IEPSO). …”
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Fingerprint frontier: the evolution of biometric security
Published 2023“…The author believes that "Fingerprint Frontier: The Evolution of Biometric Security" will serve as a complete reference, shining light on the current landscape while exposing potential future paths in this ever-changing subject. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…The results showed that the QEEA algorithm outperformed the other algorithms as it could achieve up to 18% of maximum throughput, 27% reduction in ECR, and 36% improvement in EE in terms of radius ranging from 200 m to 1000 m. …”
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Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change
Published 2014“…In conclusion, this finding contributes toward the development of models using evolution algorithm and statistical methods for sustainable water resources planning and management in the context of future climate change…”
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