1149 search results - page 11 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
TCS
2008
14 years 10 months ago
2008
In this paper, we study the conditions in which the (1+1)-EA compares favorably to other evolutionary algorithms (EAs) in terms of fitness function distribution at given iteration...
CEC
2007
IEEE
15 years 2 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
IJCAI
2007
15 years 54 min ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
106
click to vote
PPSN
1998
Springer
15 years 2 months ago
1998
Springer
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
ICPPW
2009
IEEE
15 years 5 months ago
2009
IEEE
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...