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» Monotonic solution concepts in 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
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
13 years 8 months ago
The parallel Nash Memory for asymmetric games
Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function...
Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlas...
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
13 years 11 months ago
Thoughts on solution concepts
This paper explores connections between Ficici’s notion of solution concept and order theory. Ficici postulates that algorithms should ascend an order called weak preference; th...
Anthony Bucci, Jordan B. Pollack
GECCO
2003
Springer
283views Optimization» more  GECCO 2003»
13 years 10 months ago
A Game-Theoretic Memory Mechanism for Coevolution
One problem associated with coevolutionary algorithms is that of forgetting, where one or more previously acquired traits are lost only to be needed later. We introduce a new coevo...
Sevan G. Ficici, Jordan B. Pollack