INVESTIGADORES
BRIGNOLE Nelida Beatriz
artículos
Título:
Using Computational Intelligence and Parallelism to solve an Industrial Design Problem
Autor/es:
ASTEASUAIN, F.; CARBALLIDO, J.A.; PONZONI, I,; BRIGNOLE, N.B.
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
: Springer-Verlag Berlin Heidelberg
Referencias:
Año: 2006 p. 188 - 197
ISSN:
0302-9743
Resumen:
In this work we present a critical analysis of three
novel paralleldistributed
implementations of a multi-objective genetic algorithm
(pdGAs) for
instrumentation design applications. The pdGAs aim at
establishing a sensible
configuration of sensors for the initialization of
instrumentation design studies of
industrial processes. They were built on the basis of
an evolutionary island model,
the master-worker paradigm, and different migration
and parameter control policies.
The performance of the resulting implementations was
assessed by testing
algorithmic behavior on an industrial example that
corresponds to an ammonia
synthesis plant. The three pdGAs results were highly
satisfactory in terms of
speed-up, efficiency and instrumentation
quality, thus revealing to constitute
competitive tools with strong potential for their use in the industrial
area. As well,
from an overall point of view, the pdGA version with adaptive parameter
control
represents the best implementations alternative.