Renumber Coevolutionary Multiswarm Particle Swarm Optimization for Multi-objective Workflow Scheduling on Cloud Computing Environment-Reference-Cited by-同舟云学术

Renumber Coevolutionary Multiswarm Particle Swarm Optimization for Multi-objective Workflow Scheduling on Cloud Computing Environment

Published:2015-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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Author:

Li Hai-Hao¹,Chen Zong-Gan¹,Zhan Zhi-Hui¹,Du Ke-Jing¹,Zhang Jun¹

Affiliation:

1. Sun Yat-sen University, Guangzhou, China

Funder

Natural Science Foundations of Guangdong Province for Distinguished Young Scholars

National High-Technology Research and Development Program (863 Program) of China

National Natural Science Foundations of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2739482.2764632

Reference8 articles.

1. Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approach

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3. Deadline based resource provisioning and scheduling algorithm for scientific workflows on clouds;Rodriguez M. A.;IEEE Transaction on Cloud Computing,2014

4. Bi-Velocity Discrete Particle Swarm Optimization and Its Application to Multicast Routing Problem in Communication Networks

5. Orthogonal Learning Particle Swarm Optimization

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