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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 12 months 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
2009
Springer
147views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke
BIODATAMINING
2008
85views more  BIODATAMINING 2008»
15 years 6 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,...
ATAL
2004
Springer
16 years 4 days ago
When to Apply the Fifth Commandment: The Effects of Parenting on Genetic and Learning Agents
This paper explores hybrid agents that use a variety of techniques to improve their performance in an environment over time. We considered, specifically, geneticlearning-parentin...
Michael Berger, Jeffrey S. Rosenschein
ISBRA
2009
Springer
16 years 1 months ago
A Linear-Time Algorithm for Analyzing Array CGH Data Using Log Ratio Triangulation
Abstract. DNA copy number is the number of replicates of a contiguous segment of DNA on the genome. Copy number alteration (CNA) is a genetic abnormality in which the number of the...
Matthew Hayes, Jing Li