Search Results - (( simultaneous implementation best algorithm ) OR ( java application optimization algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Indoor Simultaneous Localization and Mapping (SLAM) Using Laser Range Finder
Published 2016“…Eventually, FastSLAM 2.0 was found offering the best potential performance. And so it will be implemented using ROS gmapping package.…”
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Final Year Project -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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Article -
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Multiobjective optimization using weighted sum Artificial Bee Colony algorithm for Load Frequency Control
Published 2014“…This paper presents the implementation of multiobjective based optimization of Artificial Bee Colony (ABC) algorithm for Load Frequency Control (LFC) on a two area interconnected reheat thermal power system. …”
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Article -
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima
Published 2020“…Self-organizing mapping algorithm was integrated with the PSO, EPSO, and ACO algorithms to classify and select the best load management (LM) strategies. …”
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Thesis -
12
Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks
Published 2009“…The FastRLP and FastBRLP algorithms on the other hand have shown the best results when the average number of passes is considered. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Thesis -
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Thesis -
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Thesis -
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A new technique for the reconfiguration of radial distribution network for loss minimization
Published 2014“…In this paper, a new technique called as Improved Genetic Algorithm (IGA) for reconfiguring distribution network simultaneously implemented with the placement of small scale power generation or Distributed Generation (DG) is presented. …”
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Article -
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Development of visual odometry based machinery motion assessment system / Low Shee Teng
Published 2022“…Method 3 would be combining Method 2 with linear based EVM, and Method 4 would be purely linear based EVM. These algorithms are implemented in terms of their computational complexity and visual quality as well as how they provide the amplified motion of video output. …”
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