Search Results - (( java application optimization algorithm ) OR ( using greedy data algorithm ))
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Performance analysis of resource allocation downlink for MIMO-OFDMA system using Greedy algorithm. / Azrinawati Samaon
Published 2014“…The objectives are to suggest by using Greedy Power Allocation for capacity increment in MIMO-OFDMA system and to evaluate the system by Greedy Subcarrier Allocation. …”
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Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
Published 2016“…It result shows that there is increasing of capacity using Greedy algorithm compare with water-filling algorithm for 25, 75 and 100 users by 5.1%, 3.7% and 1.8% respectively but there is no significant difference in power allocation and Full Channel State Information (FCSI).…”
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Optimization of the hidden layer of a multilayer perceptron with backpropagation (bp) network using hybrid k-means-greedy algorithm (kga) for time series prediction
Published 2012“…The evaluation results the proposed KGA model using several time series, namely the sunspot data, the Mackey-Glass time series, and electrical load forecasting using data from several econometric factors, as well as historical electricity demand data, show that the proposed KGA model is eflective in finding the optimal number ofneurons for the hidden layer of a BP network that is used to perform time series prediction.…”
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Current trends strategies in the test redundancy reduction
Published 2016“…Many strategies in a greedy approach have been developed (including GE, GRE, and HGS), Formal Concept Analysis and non-greedy approach (tReductLAHC, tReductSA) using Metaheuristic Algorithm. …”
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Compiler-based prefetching algorithm for recursive data structure
Published 2007“…This best algorithm consists of greedy prefetching and prefetch array algorithms. …”
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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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A variable combinatorial test suite strategy based on modified greedy algorithm
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Nearest greedy for solving the waste collection vehicle routing problem: A case study
Published 2017“…This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. …”
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Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…To this direction, in this paper we make a summary of some scheduling algorithms and propose an Enhanced Greedy Heuristic Scheduling Algorithm (EGHSA) for task scheduling adapted for big data applications. …”
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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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A guided artificial bee colony (GABC) heuristic for permutation flowshop scheduling problem (PFSP)
Published 2021“…The study clusters the Employed Bees (EB) and Onlooker Bees (OB) into several groups: Total Greedy, Semi Greedy and Non-Greedy. Upon completion, the study selected the Total Greedy (3+0+0) because of the leading performance in makespan value (performance indicator), and the author used it for the rest of this study. …”
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Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio
Published 2010“…The bandwith effect to number of bit transmitted in one slot and tractable greedy algorithm to reduce the complexity of POMDP calculation was studied as well. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Scheduling algorithm for multiuser diversity in urban area / Hamizah Mohd Mahayudin
Published 2015“…Max Rate and Round Robin algorithm were used as a reference for analysing throughput and fairness respectively. …”
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