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ICANN
2009
Springer
16 years 1 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
CPAIOR
2009
Springer
16 years 1 months ago
Backdoors to Combinatorial Optimization: Feasibility and Optimality
There has been considerable interest in the identification of structural properties of combinatorial problems that lead, directly or indirectly, to the development of efficient al...
Bistra N. Dilkina, Carla P. Gomes, Yuri Malitsky, ...
CEC
2010
IEEE
15 years 7 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 6 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ISICA
2007
Springer
16 years 20 days ago
Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization
Abstract. Interplanetary trajectory optimization studies mostly considered a single objective of minimizing travel time between two planets or launch velocity of spacecraft at the ...
Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema