Multiobjective Evolutionary Computing
Mostrando 1-3 de 3 artigos, teses e dissertações.
-
1. Descoberta de regras de conhecimento utilizando computação evolutiva multiobjetivo / Discoveing knowledge rules with multiobjective evolutionary computing
Na área de inteligência artificial existem algoritmos de aprendizado, notavelmente aqueles pertencentes à área de aprendizado de máquina AM , capazes de automatizar a extração do conhecimento implícito de um conjunto de dados. Dentre estes, os algoritmos de AM simbólico são aqueles que extraem um modelo de conhecimento inteligível, isto é, que po
Publicado em: 2010
-
2. Control system design for a gas turbine engine using evolutionary computing for multidisciplinary optimization
Multidisciplinary optimization (MDO) is concerned with complex systems exhibiting challenges in terms of organization and scale. Thus, it is well suited to be applied to complex multivariable control design. Collaborative optimization is one approach for dealing with complex multidisciplinary optimization problems. Three MDO architectures, including collabor
Sba: Controle & Automação Sociedade Brasileira de Automatica. Publicado em: 2007-12
-
3. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas / Evolutionary Computing for Knowledge Rule Construction with Specific Properties
Most symbolic machine learning approaches use if-then know-ledge rules as the description language in which the learned knowledge is expressed. The aim of these learners is to find a set of classification rules that can be used to predict new instances that have not been seen by the learner before. However, these sorts of learners take into account the rule
Publicado em: 2007