62 search results - page 1 / 13 » Evolutionary MCMC Sampling and Optimization in Discrete Spac... |
ICML
2003
IEEE
13 years 9 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
EVOW
2009
Springer
13 years 11 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
JMLR
2012
11 years 7 months ago
2012
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
IJCV
2008
14 years 9 months ago
2008
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...