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We propose and demonstrate an automatic optical fiber alignment system using genetic algorithms. Connecting optical fibers is difficult because the connecting edges should be aligned with sub-micron-meter resolution. It, therefore, takes long time even for a human expert. Although automatic fiber alignment systems are being developed, they cannot be used practically if the degrees of freedom of fiber...
Scheduling a sequence for molding a number of castings each having different weights is an important large-scale optimization problem often encountered in foundries. In this paper, we attempt to solve this complex, multi-variable, and multi-constraint optimization problem using different implementations of genetic algorithms (GAs). In comparison to a mixed-integer linear programming solver, GAs with...
In this article, an approach for creating image classification rules using evolutionary operators is described. Classification rules, discovered by application of a genetic algorithm on remote sensing data, are able to identify spectral classes with comparable accuracy to that of a human expert. Genetic operators and the fitness function are detailed, and then validated for hyperspectral images (more...
Demography of the anchovy in the Gulf of Biscay is supposed to be linked with the presence of retentive vortices structures, that could retain eggs and larvae in particular environmental conditions. An automatic process for identifying such structures in massive datasets is needed to corroborate this hypothesis with biology statistics. The data we are working on is a large set of vector fields issuing...
The annual number of daily flights in France has increased from about 3500 in 1982 to about in 8000 in 2000. The number of flights simultaneously present on the radar screen of the controller has also increased. Usually controllers manage about 15 aircraft on their position and sometime this number reach a maximum of 20. On the radar screen, aircraft are represented by spots (with some previous positions...
Structure-based virtual screening is a technology increasingly used in drug discovery. Although successful at estimating binding modes for input ligands, these technologies are less successful at ranking true hits correctly by binding free energy. This paper presents the results of initial attempts to automate the removal of false positives from virtual hit sets, by evolving a post docking filter...
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