Search Results - (( developing planning problem algorithm ) OR ( java application optimized 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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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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Development of a Tuneable Test Problem Generator for Assembly Sequence Planning and Assembly Line Balancing
Published 2012“…However, there is a scarcity in works that focus on developing problems to test these algorithms. In optimisation algorithm development, testing algorithms by a broad range of test problems is crucial to identify their strengths and weaknesses. …”
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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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Parallel metaheuristic algorithm for route planning using CUDA
Published 2025“…This research will be focusing on developing a Parallel Metaheuristic Algorithm for Route Planning using CUDA to improve the efficiency and performance of route planning. …”
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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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Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation
Published 2013“…In order to supply sufficient test problems that cover a range of problem difficulties, a tuneable test problem generator is developed. …”
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Thesis -
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Hybridized firefly algorithm for multi-objective radio frequency identification (RFID) network planning
Published 2017“…A novel approach of hybrid firefly algorithm was developed for multi-objective RNP problem. …”
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Article -
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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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RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
Published 2024“…In addition, it reviews and analyzes the applications of swarm intelligence algorithms to RNP problems and discusses the innovations and drawbacks of these approaches. …”
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Article -
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End
Published 2009“…The application of the proposed algorithm shows significant reduction in the computational effort involved in solving the problem. …”
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Final Year Project -
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Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim
Published 2016“…This thesis presents a solution to generation expansion planning problem based on Shuffled Frog Leaping Algorithm (SFLA). …”
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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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Path planning for constant speed robot
Published 2006“…The development of the path planning algorithm is initially presented by the geometrical analysis and it is then analyzed by simulation using Matlab. …”
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Thesis -
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End
Published 2012“…The application of the proposed algorithm shows significant reduction in the computational effort involved in solving the problem. …”
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Final Year Project
