Abstract
Cloud Computing consists of many resources, the problem of mapping tasks on unlimited computing resources in cloud computing is NP-hard optimization problem. In this paper, we provide a survey of popular nature inspired algorithms: Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) for solving NP-hard problems in cloud computing.
Cite
CITATION STYLE
APA
Abd El-Nasser A. Said, G. (2016). Nature Inspired Algorithms in Cloud Computing: A Survey. International Journal of Intelligent Information Systems, 5(5), 60. https://doi.org/10.11648/j.ijiis.20160505.11
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