Improved Ant Colony Algorithm Based on PSO and its Application on Cloud Computing Resource Scheduling

Hai Yang

doi:10.4028/www.scientific.net/AMR.989-994.2192

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Improved Ant Colony Algorithm Based on PSO and its...

Improved Ant Colony Algorithm Based on PSO and its Application on Cloud Computing Resource Scheduling

Abstract:

This paper introduces PSO algorithm into ant colony optimization algorithm so that an improved ant colony optimization algorithm named ACA-PSO is proposed. The ACA-PSO algorithm can get more effective optimal solutions by using PSO algorithm to do crossover operation and mutation operation so as to avoid trapping in local optimum. Finally, the simulation experiment reflects that the ACA-PSO algorithm speeds the convergence up which is more suitable for resource scheduling in cloud computing.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2192-2195

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2192

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Online since:

July 2014

Authors:

Hai Yang*

Keywords:

Ant Colony Algorithm, Cloud Computing, Particle Swarm Optimization Algorithm, Resource Scheduling

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* - Corresponding Author

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