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GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Automatic design of software architecture by use of genetic algorithms has already been shown to be feasible. A natural problem is to augment – if not replace – genetic algori...
GECCO
2007
Springer
14 years 26 days ago
2007
Springer
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
GECCO
2006
Springer
14 years 19 days ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...