Local and global knowledge in rule-based forms is combined in an active set strategy for nonlinear programming design models. The combined strategy is implemented with a reduced gradient algorithm for solution of the equality constrained sub-problem. The strategy unifies previously separate local and global strategies. Algorithmic implementation and performance are discussed together with examples. This article is a sequel to a previous one describing a linear programming application of the strategy.
A Combined Local-Global Active Set Strategy for Nonlinear Design Optimization
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Li, H. L., and Papalambros, P. Y. (December 1, 1988). "A Combined Local-Global Active Set Strategy for Nonlinear Design Optimization." ASME. J. Mech., Trans., and Automation. December 1988; 110(4): 464–471. https://doi.org/10.1115/1.3258946
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