Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data
Pattern Recognition Letters - special issue on pattern recognition in practice V
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Schemata, Distributions and Graphical Models in Evolutionary Optimization
Journal of Heuristics
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
The equation for response to selection and its use for prediction
Evolutionary Computation
Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions
Evolutionary Computation
Learning Bayesian networks from incomplete data with stochastic search algorithms
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Average time complexity of estimation of distribution algorithms
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Copula estimation of distribution algorithms based on exchangeable Archimedean copula
International Journal of Computer Applications in Technology
Feature subset selection by genetic algorithms and estimation of distribution algorithms
Artificial Intelligence in Medicine
A Markovianity based optimisation algorithm
Genetic Programming and Evolvable Machines
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
A bio inspired estimation of distribution algorithm for global optimization
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
A new measure for gene expression biclustering based on non-parametric correlation
Computer Methods and Programs in Biomedicine
Information Sciences: an International Journal
| Hi-index | 0.00 |
This paper shows how the Bayesian network paradigm can be used in order to solve combinatorial optimization problems. To do it some methods of structure learning from data and simulation of Bayesian networks are inserted inside Estimation of Distribution Algorithms (EDA). EDA are a new tool for evolutionary computation in which populations of individuals are created by estimation and simulation of the joint probability distribution of the selected individuals. We propose new approaches to EDA for combinatorial optimization based on the theory of probabilistic graphical models. Experimental results are also presented.