Search Results - (( development cause simulation algorithm ) OR ( java simulation optimization algorithm ))
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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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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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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
Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The parallel simulated annealing algorithm is also developed and it reduces 64% of the time compared to sequential simulated annealing.…”
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Differential equation fault location algorithm with harmonic effects in power system
Published 2023“…The developed algorithm considers the presence of harmonics components in the simulation network. …”
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The performance of block codes in digital communication system: article / Nor Afzan Azmi
Published 2007“…This proposed algorithm was developed and simulated to evaluate the performance of handover procedure in order to minimize an unnecessary handover, enhance the system capacity and improve the user's QoS level in the femtocell networks. …”
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Hazard identification on fractionation column using rule based expert system
Published 2001“…The process-specific knowledge, which consists of process operation data and the process flow sheet, has been constructed using a HYSIS process simulator. The process-general knowledge which consists of rule-based expert system is developed from simulation result obtained from HYSIS process simulator. …”
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Performance Comparison of Packet Queuing Algorithm in Wireless Networks
Published 2014“…The simulation shows that our algorithm achieves a better result as compared to the existing schemes in enhancing the performance of data communication.…”
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Performance Comparison of Packet Queuing Algorithm in Wireless Networks
Published 2014“…The simulation shows that our algorithm achieves a better result as compared to the existing schemes in enhancing the performance of data communication.…”
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Handover procedure between macrocell and femtocell in Long Term Evolution (LTE) network: article / Nurul Afzan Zakaria
Published 2013“…This proposed algorithm was developed and simulated to evaluate the performance of handover procedure in order to minimize an unnecessary handover, enhance the system capacity and improve the user's QoS level in the femtocell networks. …”
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Handover procedure between macrocell and femtocell in long term evolution (LTE) network / Nurul Afzan Zakaria
Published 2013“…This proposed algorithm was developed and simulated to evaluate the performance of handover procedure in order to minimize an unnecessary handover, enhance the system capacity and improve the user's QoS level in the femtocell networks. …”
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18
Development of robust control scheme for wheeled mobile robot in restricted environment
Published 2021“…The control of MWR in the restricted areas during path execution still a complicated problem in robot researches, since it needs to maintain the tracking errors at the zero level and the wheel mobile robot must follow robustly the pre-defined path using a suitable control system; otherwise it can cause to crash robot with other objects. A novel algorithm so called laser simulator logic (LSL) has been develo ped to estimate the inertia moment when the environment is noisy and cannot use fuzzy logic algorithm. …”
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Enhanced location and positioning in wimax networks with virtual mimo base station
Published 2015“…The performance of the proposed algorithm has been evaluated via computer simulations. …”
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Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…This study presents a developed simulator that captures all mentioned realistic scenarios by providing the feature of integrability with the reinforcement learning (RL) algorithm. …”
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