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» Evolutionary multiobjective optimization
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138
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BMCBI
2008
106views more  BMCBI 2008»
15 years 5 months ago
Searching for evolutionary distant RNA homologs within genomic sequences using partition function posterior probabilities
Background: Identification of RNA homologs within genomic stretches is difficult when pairwise sequence identity is low or unalignable flanking residues are present. In both cases...
Usman Roshan, Satish Chikkagoudar, Dennis R. Lives...
129
Voted
GECCO
2003
Springer
15 years 10 months ago
Selection in the Presence of Noise
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
Jürgen Branke, Christian Schmidt 0002
129
Voted
GECCO
2004
Springer
15 years 10 months ago
On the Choice of the Population Size
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
Tobias Storch
DT
2000
101views more  DT 2000»
15 years 4 months ago
Conflicting Criteria in Embedded System Design
The design of complex embedded systems involves the simultaneous optimization of several often competing objectives. Instead of a single optimal design, there is rather a set of a...
Michael Eisenring, Lothar Thiele, Eckart Zitzler
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 9 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba