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CEC
2009
IEEE
13 years 11 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao
CEC
2005
IEEE
13 years 10 months ago
Coevolution of neural Go players in a cultural environment
Abstract- We present experiments (co)evolving Go players based on artificial neural networks (ANNs) for a 5x5 board. ANN structure and weights are encoded in multi–chromosomal g...
Helmut A. Mayer, Peter Maier
ECAL
2003
Springer
13 years 10 months ago
Caring versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations
Coevolutionary optimisation suffers from a series of problems that interfere with the progressive escalating arms races that are hoped might solve difficult classes of optimisatio...
John Cartlidge, Seth Bullock
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 5 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber