Search Results - (( developing measure function 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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Article -
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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Thesis -
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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Thesis -
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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Thesis -
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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Monograph -
8
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
Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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10
A block cipher based on genetic algorithm
Published 2016“…This complexity can be done by designing an algorithm that consists of substitution function and permutation function which provides confusion and diffusion properties. …”
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11
A real-time algorithm of optical tactile sensor for surface characterization / Nurul Fathiah Mohamed Rosli
Published 2016“…The outcome of the research showed that the functionality of the newly developed image computer algorithm analysis coupled with the silicone tactile sensor is able to facilitate in biomedical applications such as in endoscopic surgery for measurement of tissue softness thus overcoming some of the current limitations of tactile sensor.…”
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12
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…An algorithm for selecting communication system is developed by comparing Received Signal Strength Indicator (RSSI) of Wi-Fi and GSM with the priority given to Wi-Fi, followed by GSM and RF. …”
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13
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Thesis -
14
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Thesis -
15
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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Article -
16
Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
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17
Development of an efficient algorithm for fetal heart rate detection: a hardware approach
Published 2006“…The algorithm was initially developed and simulated in Visual C++. …”
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Proceeding Paper -
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…In this type of environment it is nearly impossible to prove the effectiveness of a scheduling algorithm. Hence the main objective of this study is to develop a desktop grid simulator toolkit for measuring and modeling scheduler algorithm performance. …”
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Final Year Project -
19
Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity
Published 2019“…All the developed algorithms were tested with a set of benchmark functions comprising of 10 different functions covering various fitness landscapes and features. …”
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Thesis -
20
Long term energy demand forecasting based on hybrid, optimization: Comparative study
Published 2012“…The objective of this research is to develop a long term energy demand forecasting model that used hybrid optimization.To accomplish this goal, a hybrid algorithm that combined a genetic algorithm and a local search algorithm method has been developed to overcome premature convergence.Model performances of hybrid algorithm were compared with former single algorithm model in estimating parameter values of an objective function to measure the goodness-of-fit between the observed data and simulated results.Averages error between two models was adopt to select the proper model for future projection of energy demand.…”
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