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GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 10 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary computation applied to the tuning of MEMS gyroscopes
We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning and, furthermore, to fin...
Didier Keymeulen, Wolfgang Fink, Michael I. Fergus...
ICRA
2000
IEEE
92views Robotics» more  ICRA 2000»
14 years 1 months ago
Action Module Planning and its Application to an Experimental Climbing Robot
This paper presents the application of an action module planning method to an experimental climbing robot named LIBRA. The method searches for a sequence of physically realizable ...
David M. Bevly, Shane Farritor, Steven Dubowsky
VTS
1998
IEEE
97views Hardware» more  VTS 1998»
14 years 1 months ago
On the Identification of Optimal Cellular Automata for Built-In Self-Test of Sequential Circuits
This paper presents a BIST architecture for Finite State Machines that exploits Cellular Automata (CA) as pattern generators and signature analyzers. The main advantage of the pro...
Fulvio Corno, Nicola Gaudenzi, Paolo Prinetto, Mat...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 3 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai