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AIEDAM
2000
134views more  AIEDAM 2000»
13 years 7 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 21 days ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
BIOINFORMATICS
1999
65views more  BIOINFORMATICS 1999»
13 years 7 months ago
Genetic Simulation Library
Summary: The Genetic Simulation Library (GSL) is a set of C++ programs and classes that can be used in individualbased simulation models of plant and animal populations. The class...
John S. Conery, Michael Lynch
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez