INVESTIGADORES
DIAZ Maria Soledad
artículos
Título:
Optimization of Industrial Problems Using Parallel Processing Under Distributed Environment
Autor/es:
GUSTAVO VAZQUEZ; MARIA SOLEDAD DIAZ; NELIDA BRIGNOLE; J. ALBERTO BANDONI
Revista:
CHEMICAL ENGINEERING COMMUNICATIONS
Editorial:
TAYLOR & FRANCIS INC
Referencias:
Lugar: Washington; Año: 2002 vol. 189 p. 642 - 656
ISSN:
0098-6445
Resumen:
A parallel optimization algorithm implemented in a distributed computing
environment was applied to nonlinear engineering pro blems. We deal with the
Parallel Variable Distribution (PVD) algorithm, discussing how to handle
nonlinear constraints and proposing a new domain-partitioning heuristics,
The quality of the proposal was first assessed by analyzing its performance for
several small nonlinear models associated with classical engineering problems.
Then, the parallel distributed code was employed to solve the rigorous model
of an existing expander plant, whose constraint-evaluation stage was more
complex, Satisfactory speed-up and efficiency values were achieved