1149 search results - page 13 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
PPSN
2004
Springer
15 years 4 months ago
2004
Springer
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
EMO
2001
Springer
15 years 3 months ago
2001
Springer
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
GECCO
2006
Springer
15 years 2 months ago
2006
Springer
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
GLVLSI
2008
IEEE
15 years 5 months ago
2008
IEEE
Phase-based tuning methodologies specialize system parameters for each application phase of execution. Parameters are varied during execution, as opposed to remaining fixed as in ...
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PPSN
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...