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- W2990142684 abstract "Cloud computing provides the computational machines as a support of the clients utilizing cloud organize. In cloud computing, the user inputs are executed with required machines to convey the administrations. Numerous task scheduling methods are utilized to plan the client tasks to the machines. In this paper, another successful hybrid task scheduling is proposed to minimize the total execution time using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. In hybrid Genetic Algorithm - Particle Swarm Optimization (GA-PSO) algorithm, PSO helped GA to obtain better results compare to a standard genetic algorithm, Min-Min, and Max-Min algorithms results." @default.
- W2990142684 created "2019-12-05" @default.
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- W2990142684 date "2019-02-01" @default.
- W2990142684 modified "2023-09-27" @default.
- W2990142684 title "An efficient task scheduling in a cloud computing environment using hybrid Genetic Algorithm - Particle Swarm Optimization (GA-PSO) algorithm" @default.
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- W2990142684 doi "https://doi.org/10.1109/iss1.2019.8908041" @default.
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