1149 search results - page 12 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
105
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CEC
2008
IEEE
15 years 5 months ago
2008
IEEE
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
GECCO
2004
Springer
15 years 4 months ago
2004
Springer
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
CEC
2007
IEEE
15 years 5 months ago
2007
IEEE
— Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high imp...
ASUNAM
2010
IEEE
14 years 9 months ago
2010
IEEE
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
116
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DMIN
2006
15 years 1 days ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...