627 search results - page 36 / 126 » How optimal is the genetic code |
148
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GECCO
2009
Springer
14 years 10 months ago
2009
Springer
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
108
Voted
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
103
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ESTIMEDIA
2006
Springer
15 years 4 months ago
2006
Springer
Nowadays, key characteristics of a processor's instruction set are only exploited in high-level languages by using inline assembly or compiler intrinsics. Inserting intrinsic...
102
Voted
IPPS
2008
IEEE
15 years 7 months ago
2008
IEEE
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
GECCO
2003
Springer
15 years 6 months ago
2003
Springer
Following the work of Stephens and coworkers on the coarse-grained dynamics of genetic systems, we work towards a possible generalisation in the context of genetic algorithms, givi...