A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.
Yoshua BengioEmma FrejingerAndrea LodiRahul PatelSriram SankaranarayananPublished in: CoRR (2019)
Keyphrases
- learning algorithm
- optimal solution
- k means
- monte carlo
- optimization algorithm
- linear programming
- objective function
- computational complexity
- cost function
- np hard
- solution quality
- reinforcement learning
- expectation maximization
- knapsack problem
- particle swarm optimization
- primal dual
- linear program
- benchmark problems
- simplex algorithm
- simulated annealing
- worst case
- dynamic programming
- special case
- support vector