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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
BMCBI
2008
176views more  BMCBI 2008»
14 years 10 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick
CEC
2009
IEEE
15 years 4 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 3 months ago
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
Hisao Ishibuchi, Youhei Shibata
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...