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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 3 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 3 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 3 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
CASES
2001
ACM
15 years 3 months ago
Storage allocation for embedded processors
In an embedded system, it is common to have several memory areas with different properties, such as access time and size. An access to a specific memory area is usually restricted...
Jan Sjödin, Carl von Platen
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 3 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
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