231 search results - page 5 / 47 » Using Neural Nets to Estimate Evolutionary Parameters |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
Abstract-- This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS ...
SBRN
2000
IEEE
13 years 11 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
EUSFLAT
2001
13 years 8 months ago
2001
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...