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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…To address these problems, this research proposes three new distributed static batch mode inspired algorithms. The first (proposed) algorithm is based on Min-Min, called Min-Diff, the second algorithm is based on Max-Min, called Max-Average, and the third algorithm is to handle the load balancing, called Efficient Load Balancing (ELB). …”
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Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing
Published 2018“…The experimented results demonstrats that our proposed algorithm, Expa-Max-Min algorithm, is able to produce good quality solutions in terms of minimising average cost and makespan and able to balance loads than Max-Min and Min-Min algorithms.…”
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A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
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Undergraduates Project Papers -
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Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E
Published 2013“…The acquired results have proven that the proposed algorithms have successfully enhanced the legacy hybrid and the deadline based algorithm.…”
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The application of neural networks and min-max algorithm in digital congkak
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Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For fingerprint database optimisation, novel access point (AP) selection algorithms which are based on variant AP selection are investigated to improve computational accuracy compared to existing AP selection algorithms such as Max-Mean and InfoGain. …”
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A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…This study provides a comprehensive analysis and comparison of six prevalent scheduling algorithms, namely FCFS, SJF, LJF, EDF, Max-Min, and PSO, under varying cloudlet loads of 200,400,600,800, and 1000. …”
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Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment
Published 2015“…We proposed an efficient algorithm based on multi-criteria strategy. The algorithm consists of two main phases. …”
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Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment (Article)
Published 2015“…We proposed an efficient algorithm based on multi-criteria strategy. The algorithm consists of two main phases. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Firstly is by enhancing the learning algorithm of a neural-fuzzy network; and secondly by devising an ensemble model to combine the predictions from multiple neural-fuzzy networks using an agent-based framework. …”
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
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