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» The MaxSolve algorithm for coevolution
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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
13 years 10 months ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 8 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 8 months ago
DECA: dimension extracting coevolutionary algorithm
Coevolution has often been based on averaged outcomes, resulting in unstable evaluation. Several theoretical approaches have used archives to provide stable evaluation. However, t...
Edwin D. de Jong, Anthony Bucci
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
13 years 8 months ago
Archive-based cooperative coevolutionary algorithms
Archive-based cooperative coevolutionary algorithms attempt to retain a set of individuals which act as good collaborators for other coevolved individuals in the evolutionary syst...
Liviu Panait, Sean Luke, Joseph F. Harrison
BMCBI
2010
110views more  BMCBI 2010»
13 years 4 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec