Results 221 to 230 of about 173,639,131 (247)
Some of the next articles are maybe not open access.

Design of Multithreaded Estimation of Distribution Algorithms

2003
Estimation of Distribution Algorithms (EDAs) use a probabilistic model of promising solutions found so far to obtain new candidate solutions of an optimization problem. This paper focuses on the design of parallel EDAs. More specifically, the paper describes a method for parallel construction of Bayesian networks with local structures in form of ...
Jiri Ocenasek   +2 more
openaire   +1 more source

Continuous Gaussian Estimation of Distribution Algorithm

2013
Metaheuristics algorithms such as Estimation of Distribution Algorithms use probabilistic modeling to generate candidate solutions in optimization problems. The probabilistic presentation and modeling allows the algorithms to climb the hills in the search space.
Shahram Shahraki   +1 more
openaire   +1 more source

Using Copulas in Estimation of Distribution Algorithms

2009
A new way of modeling probabilistic dependencies in Estimation of Distribution Algorithm (EDAs) is presented. By means of copulas it is possible to separate the structure of dependence from marginal distributions in a joint distribution. The use of copulas as a mechanism for modeling joint distributions and its application to EDAs is illustrated on ...
Rogelio Salinas-Gutiérrez   +2 more
openaire   +2 more sources

Estimation of Distribution Algorithms for the Firefighter Problem

2017
The firefighter problem is a graph-based optimization problem in which the goal is to effectively prevent the spread of a threat in a graph using a limited supply of resources. Recently, metaheuristic approaches to this problem have been proposed, including ant colony optimization and evolutionary algorithms.
openaire   +1 more source

Customized Selection in Estimation of Distribution Algorithms

2014
Selection plays an important role in estimation of distribution algorithms. It determines the solutions that will be modeled to represent the promising areas of the search space. There is a strong relationship between the strength of selection and the type and number of dependencies that are captured by the models.
Roberto Santana 0001   +2 more
openaire   +2 more sources

A layered learning estimation of distribution algorithm

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Yong Li 0008   +4 more
openaire   +2 more sources

On Use of the Em Algorithm for Penalized Likelihood Estimation

Journal of the Royal Statistical Society Series B: Methodological, 1990
Peter J Green
exaly  

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem

IEEE Transactions on Evolutionary Computation, 2014
Josu Ceberio   +2 more
exaly  

Sequence Estimation in the Presence of Random Parameters via the EM Algorithm

IEEE Transactions on Communications, 1997
C N Georghiades
exaly  

Software Cost Estimation Based on Dolphin Algorithm

IEEE Access, 2020
Anfal A Fadhil, Atica M Altaie
exaly  

Home - About - Disclaimer - Privacy