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» The MaxSolve algorithm for coevolution
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EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
13 years 11 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
SEAL
1998
Springer
13 years 12 months ago
Co-evolution, Determinism and Robustness
Abstract. Robustness has long been recognised as a critical issue for coevolutionary learning. It has been achieved in a number of cases, though usually in domains which involve so...
Alan D. Blair, Elizabeth Sklar, Pablo Funes
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 months ago
A no-free-lunch framework for coevolution
The No-Free-Lunch theorem is a fundamental result in the field of black-box function optimization. Recent work has shown that coevolution can exhibit free lunches. The question a...
Travis C. Service, Daniel R. Tauritz
GECCO
2008
Springer
167views Optimization» more  GECCO 2008»
13 years 8 months ago
Using coevolution to understand and validate game balance in continuous games
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies. We define balanced games as g...
Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis
PPSN
2004
Springer
14 years 1 months ago
Intransitivity in Coevolution
Abstract. We review and investigate the current status of intransitivity as a potential obstacle in coevolution. Pareto-Coevolution avoids intransitivity by translating any standar...
Edwin D. de Jong