Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods.
Hamed KarimiGili RosenbergHelmut G. KatzgraberPublished in: CoRR (2017)
Keyphrases
- optimization methods
- monte carlo
- optimization method
- optimization problems
- optimization approaches
- simulated annealing
- monte carlo methods
- monte carlo simulation
- global convergence
- importance sampling
- efficient optimization
- markov chain
- continuous optimization
- unconstrained optimization
- adaptive sampling
- trust region
- evolution strategy
- particle swarm
- quasi newton
- point processes
- optimization algorithm
- monte carlo tree search
- direct optimization
- stochastic approximation
- evolutionary algorithm
- matrix inversion
- temporal difference
- metaheuristic
- stochastic methods
- bayesian network models
- global illumination
- differential evolution
- graphical models
- reinforcement learning
- neural network