Renumber coevolutionary multiswarm particle swarm optimization for multi-objective workflow scheduling on cloud computing environment

GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

Volumn , Issue , 2015, Pages 1419-1420

  Li, Hai Hao ^b   Chen, Zong Gan ^b   Zhan, Zhi Hui ^a   Du, Ke Jing ^b   Zhang, Jun ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Cloud computing; Guiding point; Particle swarm optimization; Renumber; Scheduling

Indexed keywords

CLOUD COMPUTING; COSTS; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; SCHEDULING;

CLOUD COMPUTING ENVIRONMENTS; GUIDING POINT; MULTI-OBJECTIVE PROBLEM; MULTI-SWARM PARTICLE SWARM OPTIMIZATIONS; NONDOMINATED SOLUTIONS; RENUMBER; RESOURCES SCHEDULING; WORKFLOW SCHEDULING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84959323159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2739482.2764632     Document Type: Conference Paper

References (8)

1. X. F. Liu, Z. H. Zhan, K. J. Du, and W. N. Chen, "Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approach," in Proc. Genetic Evol. Comput. Conf., 2014, pp. 41-47.
2. Z. H. Zhan, X. F. Liu, Y. J. Gong, J. Zhang, S. H. Chung, and Y. Li, "Cloud computing resource scheduling and a survey of its evolutionary approaches," ACM Computing Surveys, Accepted, 2015.
3. M. A. Rodriguez and R. Buyya, "Deadline based resource provisioning and scheduling algorithm for scientific workflows on clouds," IEEE Transaction on Cloud Computing, vol. 2, no. 2, April-June 2014.
4. M. Shen, Z. H. Zhan, W. N. Chen, Y. J. Gong, J. Zhang, and Y. Li, "Bi-velocity discrete particle swarm optimization and its application to multicast routing problem in communication networks," IEEE Transactions on Industrial Electronics, vol. 61, no. 12, pp. 7141-7151, Dec. 2014.
5. Z. H. Zhan, J. Zhang, Y. Li, and Y. H. Shi, "Orthogonal learning particle swarm optimization," IEEE Trans. Evol. Comput., vol. 15, no. 6, pp. 832-847, Dec. 2011.
6. Z. G. Chen, K. J. Du, Z. H. Zhan, and J. Zhang, "Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm," in Proc. IEEE Congr. Evol. Comput., 2015, Accepted.
7. H. H. Li, Y. W. Fu, Z. H. Zhan, and J. J. Li, "Renumber strategy enhanced particle swarm optimization for cloud computing resource scheduling," in Proc. IEEE Congr. Evol. Comput., 2015, Accepted.
8. Z. H. Zhan, J. J. Li, J. Cao, J. Zhang, H. Chung, Y. Li, and H. Shi, "Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems," IEEE Transaction on Cybernetics, vol.43, no.2, pp. 445-463, April, 2013.