Search Results - (( simultaneously implementation path algorithm ) OR ( java application optimization algorithm ))
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A hybrid algorithm for finding shortest path in network routing.
Published 2009“…This wave gives an O( N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. …”
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Article -
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Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site
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Final Year Project -
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Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…This research work involves the implementation of Single Objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) in a 16-point Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor. …”
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Thesis -
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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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Conference or Workshop Item -
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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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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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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management
Published 2010“…Crashing in CPM means crashing one time unit from critical activity that has smallest cost slope while ensuring that the critical path is still the longest path in the project network. …”
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Thesis -
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…In this project, an algorithm was developed to implement an obstacle avoidance system in 3D robot navigation. …”
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Final Year Project / Dissertation / Thesis -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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A novel high performance routing technique for cross-referencing DMFBs
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Working Paper -
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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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Nano-scale VLSI clock routing module based on useful-skew tree algorithm
Published 2006“…The novel contribution of this work is clock skew scheduling is performed simultaneously with clock tree routing. This way, the computation result of proposed synthesis module can generate a clock signal distribution routing path with minimum wire length and, ensures the reliability of data synchronization for nano-scale VLSI design.…”
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Article -
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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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Genetic algorithm based network coding in wireless ad hoc networks
Published 2013“…In the intermediate node of network coding (NC), instead of store then forward data packets, the nodes in NC can perform additional function by encoding several packets into a single coded packet, and then transmit the coded packet to respective destinations simultaneously. Wireless network simulation is used to demonstrate and assess the implementation of network coding in wireless ad hoc networks. …”
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Thesis -
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Analysis of robot localisation performance based on extended kalman filter
Published 2015“…However, there are a number of variations of EKF with different values of variables, which lead to contradicting results in terms of standard deviations of path (distance) and angle. This project is implemented based on the existing localisation algorithm [30]. …”
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