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» Learning for Evolutionary Design
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CEC
2005
IEEE
14 years 3 months ago
Multiobjective financial portfolio design: a hybrid evolutionary approach
—A principal challenge in modern computational finance is efficient portfolio design – portfolio optimization followed by decision-making. Optimization based on even the widely...
Raj Subbu, Piero P. Bonissone, Neil Eklund, Sriniv...
TEC
2008
99views more  TEC 2008»
13 years 9 months ago
A Drug Candidate Design Environment Using Evolutionary Computation
Abstract-- This article describes the Candidate Design Environment we developed for efficient identification of promising drug candidates. Developing effective drugs from active mo...
M. Ihsan Ecemis, J. Wikel, C. Bingham, Eric Bonabe...
ICANN
2009
Springer
14 years 4 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
NC
2006
132views Neural Networks» more  NC 2006»
13 years 10 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
CF
2008
ACM
13 years 12 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer