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GECCO
2009
Springer
15 years 2 months ago
2009
Springer
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
GECCO
2010
Springer
15 years 25 days ago
2010
Springer
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)...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...