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» Acquiring evolvability through adaptive representations
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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
13 years 11 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
13 years 10 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
GECCO
2003
Springer
13 years 10 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
VMV
2004
154views Visualization» more  VMV 2004»
13 years 6 months ago
Extracting Animated Meshes with Adaptive Motion Estimation
We present an approach for extracting coherently sampled animated meshes from input sequences of incoherently sampled meshes representing a continuously evolving shape. Our approa...
Nizam Anuar, Igor Guskov
EVOW
2008
Springer
13 years 6 months ago
Analogue Circuit Control through Gene Expression
Abstract. Software configurable analogue arrays offer an intriguing platform for automated design by evolutionary algorithms. Like previous evolvable hardware experiments, these pl...
Kester Clegg, Susan Stepney