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» On the Brittleness of Evolutionary Algorithms
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EVOW
2000
Springer
15 years 9 months ago
Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
Paul L. Rosin, Henry O. Nyongesa
GECCO
2003
Springer
189views Optimization» more  GECCO 2003»
15 years 11 months ago
A Forest Representation for Evolutionary Algorithms Applied to Network Design
Abstract. Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some example...
Alexandre C. B. Delbem, André Carlos Ponce ...
EVOW
2007
Springer
15 years 10 months ago
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms
MicroRNAs (miRNAs) form a large functional family of small noncoding RNAs and play an important role as posttranscriptional regulators, by repressing the translation of mRNAs. Rece...
Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae ...
IPMI
2007
Springer
16 years 7 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
EVOW
2009
Springer
16 years 27 days ago
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm
We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady g...
Rui Dilão, Daniele Muraro, Miguel Nicolau, ...