A metaheuristic solution approach for the time-constrained project scheduling problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,Business, Management and Accounting (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s00291-016-0458-7.pdf
Reference49 articles.
1. Agarwal R, Tiwari M, Mukherjee S (2007) Artificial immune system based approach for solving resource constraint project scheduling problem. Int J Adv Manuf Technol 34(5–6):584–593. doi: 10.1007/s00170-006-0631-2
2. Allerding F, Premm M, Shukla P, Schmeck H (2012) Electrical load management in smart homes using evolutionary algorithms. In: Hao JK, Middendorf M (eds) Evolutionary Computation in Combinatorial Optimization, Lecture Notes in Computer Science, vol 7245, Springer, Berlin, pp 99–110. doi: 10.1007/978-3-642-29124-1_9
3. Alvarez-Valdés R, Crespo E, Tamarit JM, Villa F (2008) Grasp and path relinking for project scheduling under partially renewable resources. Eur J Oper Res 189(3):1153–1170
4. Ballestin F, Schwindt C, Zimmermann J (2007) Resource leveling in make-to order production: modeling and heuristic solution method. Int J Oper Res 4(1):50–62
5. Bandelloni M, Tucci M, Rinaldi R (1994) Optimal resource leveling using non-serial dynamic programming. Eur J Oper Res 78(2):162–177
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