Optimization with unknown objective function

Details Optimization with unknown objective function Optimization with unknown objective function

2003-09-25

2008-10-07

Hirl, Joseph P (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S014000, C706S012000

Reexamination Certificate

active

07433856

ABSTRACT:
Nonlinear optimization is applied to resource allocation, as for example, buffer pool optimization in computer database software where only the marginal utility is known. The method for allocating resources comprises the steps of starting from an initial allocation, calculating the marginal utility of the allocation, calculating the constraint functions of the allocation, and applying this information to obtain a next allocation and repeating these steps until a stopping criteria is satisfied, in which case a locally optimal allocation is returned.

REFERENCES:
California Scientific Software, Introduction to Neural Networks, 1991, California scientific software, 3rd.
Paul Bar-ford et al., On the Marginal Utility of Network Topology Measurements, 2001, ACM, 1-581 13-435-501, 5-17.
Chandu Visweswariah, Optimization Techniques for High-Perfomance Digital Circuits, 1997, IEEE, 198-205.
Peter Grun et al., Memory Size Estimation for Multimedia Applications, 1997 NSF Grant MIP-9708067.

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