Files in this item
| Files | Description | Format |
|---|---|---|
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application/pdf  3198943.pdf (5MB) | (no description provided) |
Description
| Title: | Solving Nonlinear Constrained Optimization Problems Through Constraint Partitioning |
| Author(s): | Chen, Yixin |
| Doctoral Committee Chair(s): | Wah, Benjamin W. |
| Department / Program: | Computer Science |
| Discipline: | Computer Science |
| Degree Granting Institution: | University of Illinois at Urbana-Champaign |
| Degree: | Ph.D. |
| Genre: | Dissertation |
| Subject(s): | Artificial Intelligence |
| Abstract: | Our partition-and-resolve approach has achieved substantial improvements over existing methods in AI planning and mathematical programming. We have applied our method to solve some large-scale AI planning problems, as well as some continuous and mixed-integer NLPs in standard benchmarks. We have solved some large-scale problems that were not solvable by other leading methods and have improved the solution duality on many problems. |
| Issue Date: | 2005 |
| Type: | Text |
| Language: | English |
| Description: | 167 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005. |
| URI: | http://hdl.handle.net/2142/81677 |
| Other Identifier(s): | (MiAaPQ)AAI3198943 |
| Date Available in IDEALS: | 2015-09-25 |
| Date Deposited: | 2005 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois