Search Results - (( _ implementation acs algorithm ) OR ( java simulation optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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3
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
4
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
5
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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6
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The algorithms are ACS(GA), ACS+GA, ACS(TS), and ACS+TS. …”
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7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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8
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
9
Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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10
Optimising islanded AC microgrid control: A hierarchical approach with FCS-VMPC and consensus algorithm
Published 2025“…Due to this hierarchical control AC microgrid (MG) faces unequal power sharing or power quality problems. …”
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Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing
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Conference or Workshop Item -
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An Efficient Improvement Of Ant Colony System Algorithm For Handling Capacity Vehicle Routing Problem
Published 2020“…The proposed study seeks to find the best solution of CVRP by using improvement ACS with the accompanying targets: (1) To decrease the distance as long distances negatively affect the course of the process since it consumes a great time to visit all customers. (2) To implement the improvement of ACS algorithm on new data from the database of CVRP. …”
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13
SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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14
Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…Consequently, the number of logic gates and the total power consumption of the STTC Viterbi decoder can be reduced by using the new algorithms. The proposed algorithms have been designed and implemented by using MATLAB, Altera Quartus 2 and Altera MAX V CPLD board. …”
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15
Performance study of adaptive filtering algorithms for noise cancellation of ECG signal
Published 2023“…In this paper, the four types of AC and DC noises have been implemented according to their basic properties. …”
Conference paper -
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Modelling and simulation of matrix converter for DC chopper implementation / Rahimah Uzir
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Student Project -
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Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems
Published 2009“…But the percentage deviations of averages from the associated best cost are 0.1322 and 0.7064 for ACS and SA. The results indicated that for all demand ranges, proposed ACO algorithm showed better performance than SA algorithm. …”
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Implementation of sinusoidal pulse width modulation based on cordic algorithm using silterra 0.18µm CMOS technology: article
Published 2009“…This thesis presents the implementation of Sinusoidal Pulse Width Modulation (SPWM) using Silterra 0.18µm technology and it is based on CORDIC algorithm. …”
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Implementation of sinusoidal pulse width modulation based on cordic algorithm using silterra 0.18um CMOS technology / Nurul Hidayah Marzuki
Published 2009“…This thesis presents the implementation of Sinusoidal Pulse Width Modulation (SPWM) using Silterra 0.18um technology and it is based on CORDIC algorithm. …”
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20
A Study And Development Of Digital Control Technique For Power Factor Correction Using Pre-Calculated Algorithm With A Low Cost 8-Bit Microcontroller
Published 2013“…Power factor correction in switched mode power supply has been implemented with analog controller conventionally. The mature manufacturing technologies in digital devices has led to the proliferation of powerful yet low cost digital controllers and enable the possibility of digital power factor correction implementation in a more competitive way. …”
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