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130
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
144
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
132
Voted
GECCO
2008
Springer
15 years 5 months ago
2008
Springer
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
131
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
133
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...