Comparative Study Of Ant Colony Optimization And Particle Swarm Optimization For Grid Scheduling-Reference-Cited by-同舟云学术

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Comparative Study Of Ant Colony Optimization And Particle Swarm Optimization For Grid Scheduling

Published:2011-04-15 Issue:03 Volume:02 Page:469-474
ISSN:2008-949X
Container-title:Journal of Mathematics and Computer Science
language:
Short-container-title:J. Math. Computer Sci.

Author:

Shakerian R.,Kamali S. H.,Hedayati M.,Alipour M.

Publisher

International Scientific Research Publications MY SDN. BHD.

Subject

Computational Mathematics,Computer Science Applications,General Mathematics,Computational Mechanics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Scheduling Algorithms for Two-Stage Grid Models;Lecture Notes in Electrical Engineering;2021

2. Optimized Location-Allocation of Earthquake Relief Centers Using PSO and ACO, Complemented by GIS, Clustering, and TOPSIS;ISPRS International Journal of Geo-Information;2018-07-24

3. Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review;Archives of Computational Methods in Engineering;2018-01-17

4. Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems;International Journal of Heat and Mass Transfer;2015-10

5. Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids;The Scientific World Journal;2015

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