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» Adapting binary fitness functions in Genetic Algorithms
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JEI
2008
307views more  JEI 2008»
14 years 9 months ago
Recall or precision-oriented strategies for binary classification of skin pixels
Skin detection is a preliminary step in many applications. We analyze some of the most frequently cited binary skin classifiers based on explicit color cluster definition and prese...
Francesca Gasparini, Silvia Corchs, Raimondo Schet...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 1 months ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 9 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 1 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi