ISSN:
1573-2894
Keywords:
Large scale
;
nonlinear
;
optimization
;
parallel
;
nonhierarchical
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract Optimizing the design of complex ground and flight vehicles involves multiple disciplines and multilayered computer codes stitched together from mostly incompativle disciplinary codes. The application of established, large-scale, optimization algorithms to the complete model is nearly impossible. Hierarchical decompositions are inappropriate for these types of problems and do not parallelize well. Sobieszczanski-Sobieski has proposed a nonhierarchical decomposition strategyfor nonlinear constrained optimization that is naturally parallel. Despite some successes on engineering problems, the algorithm as originally proposed fails on simple two-dimensional quadratic programs. This paper demonstrates the failure of the algorithm for quadratic programs and suggests a number of possible modifications.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01299452
Permalink
