Search Results - (( using equation modified 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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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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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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Improved Hessian approximations with modified secant equations for symmetric rank-one method
Published 2011“…In this paper, we propose some modified SR1 updates based on the modified secant equations, which use both gradient and function information. …”
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Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag
Published 2014“…In this paper, the numerical solution of delay differential equations using a predictor-corrector scheme in modified block method is presented. …”
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Predictor-corrector scheme in modified block method for solving delay differential equations with constant lag
Published 2014“…In this paper, the numerical solution of delay differential equations using a predictor-corrector scheme in modified block method is presented. …”
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Standard equations for predicting the discharge coefficient of a modified high-performance side weir
Published 2017“…The Particle Swarm Optimization (PSO) algorithm was used to optimize the parameters of the equations. …”
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New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…By using a new equation, the BFGS method is modified. …”
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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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Solving delay differential equations using modified 2-point block method
Published 2012“…The performance of a modified 2-point block method for solving delay differential equations (DDE) has been investigated. …”
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Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR
Published 2007“…The basic concept of fuzzy algorithm was used to filter DInSAR data. The equation of phase difference was modified by involving the weighted least square method. …”
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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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Block backward differentiation formulas for solving first and second order fuzzy differential equations
Published 2016“…The algorithm of existing BBDF was modified into fuzzy version. …”
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18
Adaptive beamforming algorithm based on Simulated Kalman Filter
Published 2017“…Zakwan, applies Opposition-Based Learning method to improve the exploration capabilities of SKF algorithm. Moreover, a new modified version of the SKF algorithm named SKF with Modified Measurement (SKFMM) is introduced to further improve the exploration capabilities of SKF algorithm by modifying the measurement-update equation. …”
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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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