Search Results - (( cost reduction utilizing 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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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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Article -
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Utility-based non-cooperative power control game in wireless environment / Yousef Ali Mohammed Al-Gumaei
Published 2017“…Novel utility and cost functions proposed in this work are the method to derive efficient distributed power control algorithms. …”
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Thesis -
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm
Published 2025“…Conversely, in Scenario 3, there was a 2% decrease in cost and 23% reduction in CO2 emissions as against the first scenario. ? …”
Article -
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A population division based multi-task sine cosine algorithm for test redundancy reduction optimization
Published 2024“…Many recent works have dealt with the test redundancy reduction problem as an optimization problem. Consequently, a plethora of work utilizing meta-heuristic algorithms as the backbone algorithm for addressing the test redundancy reduction problem can be seen in the literature. …”
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Conference or Workshop Item -
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An Optimized Binary Scheduling Controller for Microgrid Energy Management Considering Real Load Conditions
Published 2024Subjects:Conference Paper -
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”
Conference paper -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…Human development, CO2 emission reduction, availability of renewable sources and rising cost of fossil fuels are some of factors that make utilization of renewable energy systems become more important. …”
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Thesis -
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Investigation and modelling of building energy management system for sustainable energy usage
Published 2024text::Final Year Project -
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Solving vehicle routing problem by using improved genetic algorithm for optimal solution
Published 2023Article -
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Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks
Published 2023“…Through extensive simulations, this research validates the effectiveness of the proposed algorithms compared to existing ones. This research utilizes the OmNET++ 4.6 simulator, an open-source tool in C++, to evaluate proposed algorithms effectively. …”
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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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Thesis -
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…The process of cost optimization in construction projects entails the systematic reduction of expenses and the maximization of value through the efficient management of resources, cost control, and the attainment of project objectives within the limitations of the budget. …”
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