77 search results - page 9 / 16 » Optimizing low-discrepancy sequences with an evolutionary al... |
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
107
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GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
110
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FSTTCS
2003
Springer
15 years 5 months ago
2003
Springer
Computational genomics involves comparing sequences based on “similarity” for detecting evolutionary and functional relationships. Until very recently, available portions of th...
104
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EMO
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
119
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EC
2007
15 years 15 days ago
2007
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...