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TEC
2008
104views more  TEC 2008»
13 years 4 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
ISCA
1998
IEEE
102views Hardware» more  ISCA 1998»
13 years 9 months ago
Dynamic History-length Fitting: A Third Level of Adaptivity for Branch Prediction
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors that execute instructions speculatively. Some of the best current predic...
Toni Juan, Sanji Sanjeevan, Juan J. Navarro
GEM
2009
13 years 2 months ago
Evidence of Coevolution in Multi-objective Evolutionary Algorithms
- This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction...
James Whitacre
CEC
2011
IEEE
12 years 4 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
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
13 years 8 months ago
A comparison of evaluation methods in coevolution
In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that an evaluation against...
Ting-Shuo Yo, Edwin D. de Jong