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BMCBI
2007
144views more  BMCBI 2007»
9 years 3 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
BIODATAMINING
2008
85views more  BIODATAMINING 2008»
9 years 3 months ago
A review of estimation of distribution algorithms in bioinformatics
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformati...
Rubén Armañanzas, Iñaki Inza,...
CEC
2010
IEEE
9 years 4 months ago
Evolvable mechanics: Hardware tools for evolutionary robotics
Embodying robot morphologies evolved in simulation can present serious problems for an engineer when translating simplified simulated mechanisms into working devices, often drawing...
Bill Bigge Inman, R. Harvey
CEC
2003
IEEE
9 years 7 months ago
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data
AbstractGaphyl is an application of evolutionary algorithms (EA's) to phylogenetics, an approach used by biologists to investigate evolutionary relationships among organisms. ...
Clare Bates Congdon, Kevin J. Septor
EVOW
2006
Springer
9 years 7 months ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
ICTAI
2002
IEEE
9 years 8 months ago
Data Mining Using Cultural Algorithms and Regional Schemata
In the paper we demonstrate how evolutionary search for functional optima can be used as a vehicle for data mining. That is, in the process of searching for optima in a multi-dime...
Xidong Jin, Robert G. Reynolds
GECCO
2003
Springer
9 years 9 months ago
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenb...
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