Hybrid Algorithm for Job Scheduling: Combining the Benefits of ACO and Cuckoo Search-Reference-Cited by-同舟云学术

Hybrid Algorithm for Job Scheduling: Combining the Benefits of ACO and Cuckoo Search

Published:2013 Issue: Volume: Page:479-490
ISSN:2194-5357
Container-title:Advances in Computing and Information Technology
language:
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Author:

Babukarthik R. G.,Raju R.,Dhavachelvan P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-31552-7_49.pdf

Reference21 articles.

1. Surekha, S.: PSO and ACO based approach for solving combinatorial Fuzzy Job Shop Scheduling. Int. J. Comp. Tech. Appl. 2(1), 112–120 (2010)

2. Ferrandi, F.: Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems. IEEE Transactions on Computer-Aided Design of Intergrated Circuits and Systems 29(6) (2010)

3. Guo, S., Huang, H.-Z.: Grid Service Reliability Modeling and Optimal Task Scheduling Considering Fault Recovery. IEEE Transactions on Realiability 60(1) (2011)

4. Tan, Q., Chen, H.-P.: Two-agent scheduling on a single batch processing machine with non-identical job sizes. Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC (2011)

5. Azarkish, T.-M.: A new hybrid mutli-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem. Elsevier Expert Systems with Applications (2011)

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