Search Results - (( developing cost integration 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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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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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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Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot
Published 2024“…From the results, it can be concluded that the development of CSLAM algorithm integrated with ANN able to improve the performance of CSLAM for mobile robot using low-cost sensor.…”
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Thesis -
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Effects of integration on the cost reduction in distribution network design for perishable products
Published 2014“…To solve the integrated model, a memetic algorithm (MA) is developed in this study. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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SYSTEMATIC DESIGN ALGORITHM FOR ENERGY EFFICIENT AND COST EFFECTIVE HYDROGEN PRODUCTION FROM PALM WASTE
Published 2012“…The heat integration model based on mixed integer non-linear programming was also developed to minimize the utility cost and heat exchanger area cost for the gasification system to incorporate energy efficiency evaluation. …”
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Thesis -
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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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Development of integrated models for distribution network design of perishable products
Published 2015“…A memetic algorithm (MA) is developed to solve the integrated model, and the Lingo software is applied to solve the decoupled model. …”
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Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm
Published 2023“…In addition, the DAMRF algorithm achieves lower environmental pollution control costs (USD 8000) compared to the costs associated with the Genetic Algorithm (GA) (USD 8654.639) and PSO (USD 8579.546), emphasizing its ability to effectively control and minimize environmental pollution. …”
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Optimization algorithms for energy storage integrated microgrid performance enhancement
Published 2023Article -
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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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Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor
Published 2020“…It is also discovered that the proposed integrated ICEP-ED-DG technique outperformed the integrated EP-ED-DG and integrated AIS-ED-DG techniques in minimizing the total production cost and total system loss. …”
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Integrating RLP and Fast Zero algorithm to improve routing performance in optical multistage interconnection networks
Published 2008“…Simulation results have shown that integrating RLP to FastZ algorithm successfully improved routing performance.…”
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Conference or Workshop Item -
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The comparison of the result of the developed integrated algorithm using two benchmark FMS scheduling algorithms datasets is conducted. …”
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