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» The Evolution of Optimality: De Novo Programming
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EMO
2005
Springer
126views Optimization» more  EMO 2005»
13 years 10 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
BMCBI
2008
152views more  BMCBI 2008»
13 years 5 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
BMCBI
2006
137views more  BMCBI 2006»
13 years 4 months ago
Bounded search for de novo identification of degenerate cis-regulatory elements
Background: The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential ...
Jonathan M. Carlson, Arijit Chakravarty, Radhika S...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 10 months ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
13 years 8 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva