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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 7 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
2005
189views more  BMCBI 2005»
13 years 7 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
RECOMB
2006
Springer
14 years 7 months ago
Inferring Gene Orders from Gene Maps Using the Breakpoint Distance
Abstract. Preliminary to most comparative genomics studies is the annotation of chromosomes as ordered sequences of genes. Unfortunately, different genetic mapping techniques usual...
Guillaume Blin, Eric Blais, Pierre Guillon, Mathie...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 19 days ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
GECCO
2004
Springer
14 years 24 days ago
Inducing Sequentiality Using Grammatical Genetic Codes
Abstract. This paper studies the inducement of sequentiality in genetic algorithms (GAs) for uniformly-scaled problems. Sequentiality is a phenomenon in which sub-solutions converg...
Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David ...