Abstract
A parallel optimization algorithm implemented in a distributed computing environment was applied to nonlinear engineering problems. 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.
Original language | English |
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Pages (from-to) | 642-656 |
Number of pages | 15 |
Journal | Chemical Engineering Communications |
Volume | 189 |
Issue number | 5 |
DOIs | |
State | Published - 2002 |
Externally published | Yes |
Keywords
- Network of workstations
- Nonlinear optimization
- Parallel processing
- Parallel variable distribution