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CEC
2011
IEEE
14 years 6 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
CANDC
2009
ACM
16 years 1 months ago
Exploring illuminative systems in informal networks of adults
Whenever we feel those ‘higher’ and hard to define sensations like synchronicity, love, wholeness, and appreciation is this a pattern or illuminative system that is part of a ...
Amy K. Scatliff
AIED
2005
Springer
16 years 3 days ago
Teaching the evolution of behavior with SuperDuperWalker
SuperDuperWalker is a software-based framework for experiments on the evolution of locomotion. It simulates the behavior of evolving agents in a 3D physical simulation environment ...
Lee Spector, Jon Klein, Kyle Harrington, Raymond C...
JCB
2006
107views more  JCB 2006»
15 years 6 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 1 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria