Login / Signup
A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem.
Ugur Satic
Peter Jacko
Christopher Kirkbride
Published in:
Eur. J. Oper. Res. (2024)
Keyphrases
</>
resource constrained
approximate dynamic programming
stochastic dynamic programming
sensor networks
linear program
wireless sensor networks
resource constraints
dynamic programming
reinforcement learning
embedded systems
monte carlo
data sets
linear programming
multipath
finite number
lightweight
image sequences