Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system

Author:

Lin Yang-Kuei,Chong Chin Soon

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference60 articles.

1. Abrishami, S., & Naghibzadeh, M. (2012). Deadline-constrained workflow scheduling in software as a service cloud. Scientia Iranica, 19(3), 680–689.

2. Agarwal, A., Colak, S., & Erenguc, S. (2011). A neurogenetic approach for the resource-constrained project scheduling problem. Computer and Operations Research, 38(1), 44–50.

3. Alcaraz, A., & Maroto, C. (2001). A robust genetic algorithm for resource allocation in project scheduling. Annals of Operations Research, 102, 83–109.

4. Alcaraz, J., Maroto, C., & Ruiz. R. (2004). Improving the performance of genetic algorithms for the RCPS problem. In Proceedings of the 9th International Workshop on Project Management and Scheduling (pp. 40–43).

5. Baar, T., Brucker, P., & Knust, S. (1998). Tabu search algorithms and lower bounds for the resource-constrained project scheduling problem (pp. 1–18). US: Springer.

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