An Adaptive and Parallel Genetic Algorithm to Solve Workforce Planning Problem
Author:
Mannava VishnuvardhanORCID,
Swapna GanapaneniORCID
Publisher
Springer Singapore
Reference13 articles.
1. G. Li, H. Jiang, T. He, A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem. Omega 50, 1–17 (2015)
2. E. Alba, G. Luque, F. Luna, Workforce Planning with Parallel Algorithms, in Proceedings 20th IEEE International Parallel & Distributed Processing Symposium (IEEE, 2006)
3. E. Alba, G. Luque, F. Luna, Parallel metaheuristics for workforce planning. J. Math. Modell. Algorithms 6(3), 509–528 (2007)
4. E.-A. Attia, P. Duquenne, J.-M. Le-Lann, Considering skills evolutions in multi-skilled workforce allocation with flexible working hours. Int. J. Prod. Res. 52(15), 4548–4573 (2014)
5. I. Castillo, T. Joro, Y.Y. Li, “orkforce scheduling with multiple objectives. Eur. J. Oper. Res. 196(1), 162–170 (2009)