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GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
13 years 9 months ago
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike trad...
Paul M. Godley, David E. Cairns, Julie Cowie, Kevi...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 9 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 9 months ago
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...
Gilles Énée, Mathias Péroumal...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur