Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem Under Time Uncertainty
- 1 March 2021
- journal article
- research article
- Published by Springer Nature in International Journal of Fuzzy Systems
- Vol. 23 (2), 518-534
- https://doi.org/10.1007/s40815-020-00984-w
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- MOICA: A novel multi-objective approach based on imperialist competitive algorithmApplied Mathematics and Computation, 2013
- A differential evolution algorithm to solve multi-skilled project portfolio scheduling problemsThe International Journal of Advanced Manufacturing Technology, 2012
- An improved MIP-based approach for a multi-skill workforce scheduling problemJournal of Scheduling, 2011
- A survey of variants and extensions of the resource-constrained project scheduling problemEuropean Journal of Operational Research, 2010
- Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithmJournal of Scheduling, 2008
- Methods to solve multi-skill project scheduling problem4OR, 2007
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002
- An approximate approach for ranking fuzzy numbers based on left and right dominanceComputers & Mathematics with Applications, 2001
- Scheduling subject to resource constraints: classification and complexityDiscrete Applied Mathematics, 1983
- Fuzzy setsInformation and Control, 1965