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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 1 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
CEC
2007
IEEE
13 years 11 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
13 years 8 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
AMAI
2006
Springer
13 years 7 months ago
Bargaining over multiple issues in finite horizon alternating-offers protocol
In this paper we study multi issue alternating-offers bargaining in a perfect information finite horizon setting, we determine the pertinent subgame perfect equilibrium, and we pro...
Francesco Di Giunta, Nicola Gatti
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 8 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...