A roadmap for solving optimization problems with estimation of distribution algorithms
In recent decades, Estimation of Distribution Algorithms (EDAs) have gained much
popularity in the evolutionary computation community for solving optimization problems …
popularity in the evolutionary computation community for solving optimization problems …
Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm
Often, real-world problems are of the gray-box type. It has been shown that the Real-Valued
Gene-pool Optimal Mixing Evolutionary Algorithm (RV-GOMEA) is in principle capable of …
Gene-pool Optimal Mixing Evolutionary Algorithm (RV-GOMEA) is in principle capable of …
Analysis of Bayesian network learning techniques for a hybrid multi-objective Bayesian estimation of distribution algorithm: a case study on MNK landscape
This work investigates different Bayesian network structure learning techniques by
thoroughly studying several variants of Hybrid Multi-objective Bayesian Estimation of …
thoroughly studying several variants of Hybrid Multi-objective Bayesian Estimation of …
A markovianity based optimisation algorithm
Abstract Several Estimation of Distribution Algorithms (EDAs) based on Markov networks
have been recently proposed. The key idea behind these EDAs was to factorise the joint …
have been recently proposed. The key idea behind these EDAs was to factorise the joint …
Learning factorizations in estimation of distribution algorithms using affinity propagation
R Santana, P Larranaga… - Evolutionary …, 2010 - ieeexplore.ieee.org
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations
have been widely applied to a broad range of mainly binary optimization problems. In this …
have been widely applied to a broad range of mainly binary optimization problems. In this …
On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics
Abstract The Bayesian Optimization Algorithm (BOA) is one of the most prominent Estimation
of Distribution Algorithms. It can detect the correlation between multiple variables and extract …
of Distribution Algorithms. It can detect the correlation between multiple variables and extract …
Model accuracy in the Bayesian optimization algorithm
Evolutionary algorithms (EAs) are particularly suited to solve problems for which there is not
much information available. From this standpoint, estimation of distribution algorithms …
much information available. From this standpoint, estimation of distribution algorithms …
Research topics in discrete estimation of distribution algorithms based on factorizations
In this paper, we identify a number of topics relevant for the improvement and development
of discrete estimation of distribution algorithms. Focusing on the role of probability …
of discrete estimation of distribution algorithms. Focusing on the role of probability …
Toward understanding EDAs based on Bayesian networks through a quantitative analysis
C Echegoyen, A Mendiburu, R Santana… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The successful application of estimation of distribution algorithms (EDAs) to solve different
kinds of problems has reinforced their candidature as promising black-box optimization …
kinds of problems has reinforced their candidature as promising black-box optimization …
Analyzing probabilistic models in hierarchical BOA
M Hauschild, M Pelikan, K Sastry… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The hierarchical Bayesian optimization algorithm (hBOA) can solve nearly decomposable
and hierarchical problems of bounded difficulty in a robust and scalable manner by building …
and hierarchical problems of bounded difficulty in a robust and scalable manner by building …