Search Results - (( user simulation approach 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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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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Article -
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Hence, schedule decisions using task scheduling approaches are according to the users’ outlined QoS requirements. …”
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Thesis -
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Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
Published 2005“…GA works iteratively over a population of solution using crossover and mutation to simulate potential solution. In this paper we examine the performance of a micro-Genetic Algorithm-based multi-user detector. …”
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Proceeding Paper -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Relationship based replication algorithm for data grid
Published 2014“…Such an approach overcomes existing algorithms that is based either on users request or resource capabilities as an individual. …”
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Monograph -
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…First, a greedy-based user association algorithm is proposed to allocate multiple users to MBS or SBSs to maximize the total sum rate. …”
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Thesis -
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A fault syndromes simulator for random access memories
Published 2008“…The simulator allows a user through a GUI to select a March based test algorithm depending on the desired fault coverage and diagnostic resolution. …”
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Article -
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ROA-CONS: raccoon optimization job scheduling
Published 2021“…It describes a new scheduling approach, which is a combination of an updated conservative backfilling approach further optimised by the raccoon optimisation algorithm. …”
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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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An efficient fault syndromes simulator for SRAM memories
Published 2009“…The simulator allows a user through a GUI to select a March based test algorithm depending on the desired fault coverage and diagnostic resolution. …”
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Article -
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Cost-effective scheduling analysis through discrete event simulation for distributed systems
Published 2015“…In response to this, we proposed priority-based scheduling algorithm for improving resource availability that developed using discrete-event simulation approach. …”
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Book Section -
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Resource allocation techniques for interference mitigation in macro and femtocell heterogeneous network-based LTE system
Published 2017“…The first proposed hybrid approach consists of two combined schemes, termed as Resource Allocation based Fractional Frequency Reuse and Graph Connectivity algorithm (RAFFRGC). …”
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Thesis -
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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