Search Results - (( java simulation optimization algorithm ) OR ( using panel selection 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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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. …”
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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
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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7
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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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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9
Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…The screening approach that is the random sampling method was able to select design points close to the objective. The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
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10
Techno-economic analysis of an optimized photovoltaic and diesel generator hybrid power system for remote houses in a tropical climate
Published 2023“…The scenario that achieves the minimum cost while meeting the load requirement was selected. The optimal tilt angle of the PV panels in order to increase the generated energy was obtained using genetic algorithm. …”
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A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications
Published 2019“…Initial results from the solar panel model using SLG-M 350 module are satisfactory. …”
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12
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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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023“…These coefficients were calculated using both MATLAB's fitting tool and genetic algorithm. …”
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Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm
Published 2009“…In this study, a new method for designing a particular braced system by using multi-objective genetic algorithm is proposed. …”
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15
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2013“…These coefficients were calculated using both MATLAB's fitting tool and genetic algorithm. …”
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Modelling and optimization of phase change materials (PCM)-based passive cooling of solar PV panels in multi climate conditions
Published 2023“…An optimization model is also created using MATLAB and a genetic algorithm to identify the most suitable PCM for specific climate zones. …”
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. SecPath is evaluated with several variations using 400 nodes in WSN deployments as well as large-scale simulations. …”
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18
Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. Energy efficient iPath (E-iPath) is evaluated with several variations of nodes in WSN deployments as well as large-scale simulations. …”
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19
Techno-economic analysis of an optimized photovoltaic and diesel generator hybrid power system for remote houses in a tropical climate
Published 2013“…The scenario that achieves the minimum cost while meeting the load requirement was selected. The optimal tilt angle of the PV panels in order to increase the generated energy was obtained using genetic algorithm. …”
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20
Analysis of sepic DC/DC converter using perturb & observe algorithm for photovoltaic charge controller
Published 2015“…This thesis focuses on solar charge controller area; which presents theoretical studies on the photovoltaic (PV) module characteristics and Maximum Power Point Tracking (MPPT) capability. This study uses real irradiation data to analyze the PV module characteristics and the MPPT algorithm in MATLAB. …”
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