A Generalized Markov-Chain Modelling Approach to (1, λ)-ES Linear Optimization.
Alexandre Adrien ChotardMartin HolenaPublished in: PPSN (2014)
Keyphrases
- markov chain
- steady state
- finite state
- monte carlo
- transition probabilities
- stochastic process
- stationary distribution
- monte carlo simulation
- markov process
- random walk
- state space
- monte carlo method
- markov model
- state transition
- transition matrix
- markov chain monte carlo
- genetic algorithm
- single server
- ensemble learning
- closed form
- sufficient conditions