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142
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GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 9 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen
122
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Publication
285views
15 years 7 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
111
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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 7 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
ATS
1997
IEEE
89views Hardware» more  ATS 1997»
15 years 7 months ago
Guaranteeing Testability in Re-encoding for Low Power
This paper considers the testability implications of low power design methodologies. Low power and high testability are shown to be highly contrasting requirements, and an optimiz...
Silvia Chiusano, Fulvio Corno, Paolo Prinetto, Mau...