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» An evolutionary method for complex-process optimization
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109
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GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 3 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
79
Voted
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 1 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
NECO
2007
115views more  NECO 2007»
14 years 12 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
GECCO
2011
Springer
346views Optimization» more  GECCO 2011»
14 years 4 months ago
Evolving relationships between social networks and stakeholder involvement in software projects
Software projects often fail because stakeholder communication and involvement are inadequate. This paper proposes a novel method to understand project social networks and their c...
Soo Ling Lim, Peter J. Bentley
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
15 years 6 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull