Search Results - (( its application need algorithm ) OR ( web application swarm algorithm ))*
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Cloud Computing systems are widely applied in many fields such as communication data management, web application, network monitoring, financial management and so on. …”
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Particle Swarm Optimisation with Improved Learning Strategy
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A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing
Published 2020“…This paper surveys scheduling algorithms based on particle swarm optimization (PSO). …”
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Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
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A malicious URLs detection system using optimization and machine learning classifiers
Published 2020“…The bio-inspired algorithm: particle swarm optimization (PSO) is used to optimized URLs features. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…—The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
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A standard deviation selection in evolutionary algorithm for grouper fish feed formulation
Published 2016“…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
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Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
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A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
Published 2016“…Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. The feasible and low fitness, quick solution can be obtained. …”
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A study of mobile IP and its security aspects in a LAN environment / Suhaila Che Ismail
Published 1998“…Each mobile IP agent needs a different application and independently configured. …”
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