A multi-objective Monarch Butterfly Algorithm for virtual machine placement in cloud computing

Author:

Ghetas MohamedORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference50 articles.

1. Chen Z-G, Du K-J, Zhan Z-H, Zhang J (2015) Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm. In: 2015 IEEE congress on evolutionary computation (CEC), IEEE, pp 708–714

2. Li H-H, Fu Y-W, Zhan Z-H, Li J-J (2015) Renumber strategy enhanced particle swarm optimization for cloud computing resource scheduling. In: 2015 IEEE congress on evolutionary computation (CEC), IEEE, pp 870–876

3. Chen Z-G, Zhan Z-H, Li H-H, Du K-J, Zhong J-H, Foo YW, Li Y, Zhang J (2015) Deadline constrained cloud computing resources scheduling through an ant colony system approach. In: 2015 International conference on cloud computing research and innovation (ICCCRI), IEEE, pp 112–119

4. Li H-H, Chen Z-G, Zhan Z-H, Du K-J, Zhang J (2015) Renumber coevolutionary multiswarm particle swarm optimization for multi-objective workflow scheduling on cloud computing environment. In: Proceedings of the companion publication of the 2015 annual conference on genetic and evolutionary computation, pp 1419–1420

5. Masdari M, Nabavi SS, Ahmadi V (2016) An overview of virtual machine placement schemes in cloud computing. J Netw Comput Appl 66:106–127

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