Algorithms for the generation of state-level representations of stochastic activity networks with general reward structures.
Muhammad A. QureshiWilliam H. SandersAad P. A. van MoorselReinhard GermanPublished in: PNPM (1995)
Keyphrases
- computationally hard
- state space
- orders of magnitude
- higher level
- neural network
- machine learning algorithms
- previously studied
- network analysis
- benchmark datasets
- optimization problems
- computational cost
- theoretical analysis
- computationally efficient
- network structure
- state variables
- stochastic search
- special case
- stochastic approximation
- genetic algorithm