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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 4 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
BMCBI
2010
135views more  BMCBI 2010»
15 years 4 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
BMCBI
2008
152views more  BMCBI 2008»
15 years 4 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...
CGF
2008
84views more  CGF 2008»
15 years 4 months ago
Visualizing Underwater Ocean Optics
Simulating the in-water ocean light field is a daunting task. Ocean waters are one of the richest participating media, where light interacts not only with water molecules, but wit...
Diego Gutierrez, Francisco J. Serón, Adolfo...
COR
2010
96views more  COR 2010»
15 years 4 months ago
Strong activity rules for iterative combinatorial auctions
Activity rules have emerged in recent years as an important aspect of practical auction design. The role of an activity rule in an iterative auction is to suppress strategic behav...
Pavithra Harsha, Cynthia Barnhart, David C. Parkes...
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