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System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)
Published 2022“…In this project, Genetic Algorithms (GA) is combine Moth Flame Optimization (MFO) to improve the cloud computing environment. …”
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Academic Exercise -
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Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
Published 2016“…The goal of this paper is to optimize the productivity of manufacturing system by integrating computer simulation, design of experiments (DOE) and particle swarm optimization (PSO) algorithm. …”
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Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…Genetic Algorithm as one of the Evolutionary Computation method improve the execution of parallel programming codes by optimizing the number of processors and the distribution of data. …”
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Research Report -
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Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
Published 2019“…In addition, a further study on new optimization algorithms is also suggested to obtain an optimal solution in reasonable computational time.…”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…However, these techniques have its weaknesses in terms of minimizing makespan, computation cost and communication cost. In this study, load balancing technique in Cloud Computing called Quantum Particle Swarm Optimization (QPSO) technique proposed by considering only minimization of makespan, computation cost and communication cost. …”
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Thesis -
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Multilevel optimization for dense motion estimation
Published 2011“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
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Monograph -
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A survey on cloudlet computation optimization in the mobile edge computing environment
Published 2023“…Abstract: Mobile Edge Computing (MEC) uses to perform computation operations at the edge of a network for mobile devices. …”
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DNA sequence design for direct-proportional length-based DNA computing: Particle swarm optimization vs population based ant colony optimization
Published 2012“…It can be concluded that the P-ACO algorithm can obtain relatively a better set of DNA sequences for DNA computing with length constraints.…”
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Hybrid evolutionary-dolphin echolocation programming for sizing optimization of stand-alone photovoltaic systems / Zulkifli Othman
Published 2021“…The results showed that EDEPSA had successfully produced optimal PR and LCOE and comparable with those attained using the benchmark algorithm ISA with much lower computational time. …”
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Thesis -
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Hybrid ant colony optimization for grid computing
Published 2009“…A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper.The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit.The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table.This facilitates the hybrid ant colony optimization technique in solving the stagnation problem in two ways within one cycle, thus minimize the total computational time of the jobs.…”
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Heuristic task scheduling algorithms for optimal resource utilisation in grid computing
Published 2020“…The main goal of this work is to present an evaluation of resources utilisation for certain heuristic scheduling algorithms in Grid Computing Environment. The results of the two experimental scenarios showed that suf rage algorithm produced the best resource utilisation among the three investigated heuristic scheduling algorithms.…”
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Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
Published 2024“…A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. …”
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Optimal source substation location selection in radial distribution networks
Published 2004“…New computer algorithm has been developed to select the optimal location of source substation in radial distribution networks. …”
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Improved barnacles mating optimizer for loss minimization problem in optimal reactive power dispatch
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Optimized intrusion detection mechanism using soft computing techniques
Published 2011“…Therefore, in this research, an optimized intrusion detection mechanism using soft computing techniques is proposed to overcome performance issues. …”
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