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» Evolutionary Neuroestimation of Fitness Functions
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PRL
2002
128views more  PRL 2002»
13 years 6 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...
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
COR
2006
86views more  COR 2006»
13 years 6 months ago
G-functions for the hermeneutic circle of evolution
Evolution by natural selection may include both frequency and density-dependence. Frequency-dependent selection is a kind of hermeneutic circle. As a literary term (and a school o...
Joel S. Brown, Thomas L. Vincent
EC
2008
116views ECommerce» more  EC 2008»
13 years 6 months ago
Efficient Evaluation Functions for Evolving Coordination
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
Adrian K. Agogino, Kagan Tumer
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 7 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski