Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems
From MaRDI portal
Publication:1991259
DOI10.1016/j.ejor.2018.07.037zbMath1403.90381OpenAlexW2884736447WikidataQ129459702 ScholiaQ129459702MaRDI QIDQ1991259
Nikica Hlupić, Marija Katić, Mario Brčić
Publication date: 30 October 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.07.037
project schedulingapproximate dynamic programmingproactive schedulingrollout policiesstochastic RCPSP
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Solving stochastic resource-constrained project scheduling problems by closed-loop approximate dynamic programming
- PSPLIB -- a project scheduling problem library
- A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs
- Minimizing total weighted flow time under uncertainty using dominance and a stability box
- Project scheduling under uncertainty: survey and research potentials
- Rollout algorithms for stochastic scheduling problems
- Proactive policies for the stochastic resource-constrained project scheduling problem
- Minimizing the expected makespan of a project with stochastic activity durations under resource constraints
- Rollout algorithms for combinatorial optimization
- Approximate Dynamic Programming
- Proactive Reactive Scheduling in Resource Constrained Projects with Flexibility and Quality Robustness Requirements
- Stochastic scheduling problems I — General strategies
This page was built for publication: Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems